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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
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        <description>﻿

Language Switch Map

维护说明：

	*  第一列是中文页面ID
	*  第二列是英文页面ID
	*  只改表格，不要改格式
	*  新增映射时一行一条
 中文页ID  英文页ID  yanding:成像基础知识:光学:几何光学:主光线角</description>
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        <dc:date>2026-06-23T02:31:30+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_双点光源</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E5%8F%8C%E7%82%B9%E5%85%89%E6%BA%90&amp;rev=1782181890&amp;do=diff</link>
        <description>CMS双点光源

CMS是什么？

随着汽车电子化发展，电子后视镜（Camera Monitor System，CMS）正逐步替代传统光学后视镜，成为现代汽车的核心配置之一。它通过车外摄像头采集图像并在车内监视器实时显示，破解了传统后视镜视角受限、恶劣天气视野模糊等痛点。
$$\text{PLSDF} = \frac{S_{\text{H}} \times L_{\text{H},\text{max}}}{S_{\text{V}} \times L_{\text{V},\text{max}}}$$$$\text{PLSCF} = \left(1 - \frac{L_{\text{H},\text{min}}}{L_{\text{H},\text{max}}}\right)$$$\alpha_{PLS}$…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:25+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_dual_point_light_source</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_dual_point_light_source&amp;rev=1783670605&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

 (remove this paragraph once the translation is finished) 

CMS Dual-Point Light Source

What is CMS?

With the development of automotive electronics, the Camera Monitor System ($$\text{PLSDF} = \frac{S_{\text{H}} \times L_{\text{H},\text{max}}}{S_{\text{V}} \times L_{\text{V},\text{max}}}$$$$\text{PLSCF} = \left(1 - \frac{L_{\text{H},\text{min}}}{L_{\text{H},\text{max}}}\right)$$$\alpha_{PLS}$</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-05-18T06:11:04+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>测试用例2</title>
        <link>https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B2&amp;rev=1779084664&amp;do=diff</link>
        <description>测试课堂

ADAS测试用例

	* 对比度表现指标_cpi

	* 闪烁 flicker

Camera测试用例

	* 动态范围

	* 噪声

	* 均匀性

	* 帧率

	* 曝光时间

	* 灰阶响应

	* 畸变

	* 白平衡

	*  眩光

	* 空间频率响应_sfr

	* 纹理丢失

	* 色差

	* 色彩还原

	* 视场角

	* 防抖

CMS测试用例

	* CMS的介绍

	* CMS视镜类型及视野要求

	* CMS测试前所需参数

	* 亮度对比度复现

	* 灰度等级复现

	* 方向均匀性

	* 横向均匀性

	* 双点光源

	* 眩光

	* 景深

	* 色彩还原

	* 帧率

	* 锐度…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:test_cases&amp;rev=1784879388&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-24T07:49:48+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:test_cases</title>
        <link>https://wiki.yanding.com/doku.php?id=en:test_cases&amp;rev=1784879388&amp;do=diff</link>
        <description>Test Cases

This section provides practical test cases for image quality evaluation, organized by application:

	*  Camera Test Cases
		*  Image Quality Evaluation Overview
		*  Dynamic Range
		*  Noise
		*  Sharpness
		*  White Balance
		*  Distortion
		*  Uniformity
		*  Color Reproduction
		*  Chromatic Aberration
		*  Field of View
		*  Exposure Time
		*  Frame Rate
		*  Glare
		*  Spatial Frequency Response (SFR)
		*  Texture Loss
		*  Gray Scale Response
		*  Image Stabilization
		*  MTF/S…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms&amp;rev=1782133025&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-06-22T12:57:05+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms&amp;rev=1782133025&amp;do=diff</link>
        <description>CMS

概念

摄像头监视系统CMS（Camera Monitor System），行业称为电子后视镜，是采用摄像头+监视器的组合来取代传统的光学后视镜，显示模式为外部摄像头采集图像，处理后显示在舱内显示屏内，同时可以集成类似盲区预警、障碍物提示等功能，为驾驶员提供全方位的环境视野，有效弥补传统后视镜存在的视野局限与盲区问题，提升行车安全性与操作便利性。</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms&amp;rev=1783670604&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS

Concept

The Camera Monitor System (CMS), commonly referred to in the industry as the electronic rearview mirror</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-02-26T08:42:43+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_亮度对比度复现</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E4%BA%AE%E5%BA%A6%E5%AF%B9%E6%AF%94%E5%BA%A6%E5%A4%8D%E7%8E%B0&amp;rev=1772095363&amp;do=diff</link>
        <description>CMS亮度对比度复现

定义：

CMS亮度对比度复现测试，通过模拟真实驾驶环境的光照挑战，验证 CMS 在日光直射、散射环境光线、黄昏、夜间各类光照场景下的对比度保持能力，评估其是否能保持稳定的画面视觉清晰度，避免因亮暗异常、眩光丢失关键信息，进而保障驾驶安全并满足法规强制要求。$L_{High}$$L_{Low}$$CR = \frac{L_{monitor/chart/white/ambient}}{L_{monitor/chart/black/ambient}}$</description>
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        <dc:date>2026-04-07T07:22:39+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_方向均匀性</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%96%B9%E5%90%91%E5%9D%87%E5%8C%80%E6%80%A7&amp;rev=1775546559&amp;do=diff</link>
        <description>CMS方向均匀性

一、定义

CMS （Camera Monitor System，摄像头监控系统）行业称为电子后视镜，是用摄像头+监视器的组合来取代传统的光学后视镜，显示模式为外部摄像头采集图像，处理后显示在舱内显示屏内，同时可以集成类似盲区预警、障碍物提示等功能。$$\frac{\max\left\{ \left| L_i - L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right) \right| \right\}}{L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right)} &lt; 35\%$$$$\frac{\max\left\{ \left| L_{i'} - L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right) \right| \right\}}{L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{mon…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T12:51:19+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_锐度</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E9%94%90%E5%BA%A6&amp;rev=1784811079&amp;do=diff</link>
        <description>CMS锐度

CMS为什么要测锐度？


摄像头监控系统CMS（Camera Monitor System）作为传统光学后视镜的电子化替代，通过外部摄像头和舱内显示屏的组合为驾驶员提供车外视野。


而图像锐度（Sharpness）直接决定了CMS成像呈现细节的能力，对行车安全至关重要，直接影响驾驶员能否清晰感知监视器显示的后方来车细节（如：车灯轮廓、车牌、行人、路标等信息）。$$\text{MTF}50_{\langle 1:1 \rangle} \geq \frac{1}{2}\text{MTF}10_{\text{MIN}\langle 1:1 \rangle} \left[ \frac{\text{LW}}{\text{PH}} \right]$$$$\text{MTF}50_{\langle 1:1 \rangle} \geq \frac{1}{2} \times \left( \frac{1}{2} \text{MTF}10_{\text{MIN}\langle 1:1 \rangle} \right) \left[ \frac{\text{LW}}{\text{PH}} …</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_directional_uniformity&amp;rev=1783670606&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_directional_uniformity</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_directional_uniformity&amp;rev=1783670606&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Directional Uniformity

1. Definition

CMS (Camera Monitor System), commonly referred to in the industry as an electronic rearview mirror, uses a $$\frac{\max\left\{ \left| L_i - L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right) \right| \right\}}{L\left( \Theta_{\text{monitor}/D}, \Phi_{\text{monitor}/D} \right)} &lt; 35\%$$$$\frac{\…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_luminance_contrast_reproduction&amp;rev=1783670604&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_luminance_contrast_reproduction</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_luminance_contrast_reproduction&amp;rev=1783670604&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Luminance and Contrast Reproduction

Definition:

The CMS luminance and contrast reproduction test simulates the lighting challenges of real-world driving environments to verify the $L_{High}$$L_{Low}$$CR = \frac{L_{monitor/chart/white/ambient}}{L_{monitor/chart/black/ambient}}$</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_sharpness&amp;rev=1784811079&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T12:51:19+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_sharpness</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_sharpness&amp;rev=1784811079&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Sharpness

Why Measure Sharpness in CMS?


As an electronic replacement for traditional optical rearview mirrors, the $$\text{MTF}50_{\langle 1:1 \rangle} \geq \frac{1}{2}\text{MTF}10_{\text{MIN}\langle 1:1 \rangle} \left[ \frac{\text{LW}}{\text{PH}} \right]$$$$\text{MTF}50_{\langle 1:1 \rangle} \geq \frac{1}{2} \times \left( \frac{1}{2} \text{MTF…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_16505_cms%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F%E6%B5%8B%E8%AF%95&amp;rev=1776329360&amp;do=diff">
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        <dc:date>2026-04-16T08:49:20+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:标准化测试:iso_16505_cms色彩还原测试</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_16505_cms%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F%E6%B5%8B%E8%AF%95&amp;rev=1776329360&amp;do=diff</link>
        <description>ISO 16505：CMS色彩还原测试

色彩还原（Colour rendering） 指摄像机监视系统（CMS）将目标图卡的原始色彩在显示器上准确再现的能力。

指标（ISO 16505 6.8.3）：

对于色彩还原，显示器上图卡色块再现颜色的色调角应满足以下要求。颜色坐标基于 CIE1976 色彩空间进行描述： $(u'_r′ , v'_r )$$(u'_{it} ,v'_{it})$$（Δu′=u'_{it} - u'_r、Δv′=v'_{it} - v'_r ）$$\left( (u'_{it} - u'_r) \geq 0 \text{且} (v'_{it} - v'_r) \geq 0 \right)：\theta_{icolor} = \arctan\left( \frac{v'_{it}-v'_r}{u'_{it}-u'_r} \right)$$\left( (u'_{it} - u'_r) &lt; 0 \text{且} (v'_{it} - v'_r) \geq 0 \right)： \theta_{icolor} = 180^\circ + \arctan\left(…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:35+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:standardized_testing:iso_16505_cms_color_reproduction</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_16505_cms_color_reproduction&amp;rev=1783670615&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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ISO 16505: CMS Color Reproduction Test

Color reproduction (Colour rendering) refers to the ability of a Camera Monitor System ($(u'_r, v'_r)$$(u'_{it}, v'_{it})$$(\Delta u' = u'_{it} - u'_r, \Delta v' = v'_{it} - v'_r)$$\theta_{icolor}$$\left( (u'_{it} - u'_r) \geq 0 \text{ and } (v'_{it} - v'_r) \geq 0 \right): \theta_{icolor} = \arctan\left( \frac{…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:gb_15084-2022cms%E8%A7%86%E9%95%9C%E7%B1%BB%E5%9E%8B%E5%8F%8A%E8%A7%86%E9%87%8E%E8%A6%81%E6%B1%82%E8%A7%A3%E8%AF%BB&amp;rev=1765791512&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-12-15T09:38:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:标准化测试:gb_15084-2022cms视镜类型及视野要求解读</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:gb_15084-2022cms%E8%A7%86%E9%95%9C%E7%B1%BB%E5%9E%8B%E5%8F%8A%E8%A7%86%E9%87%8E%E8%A6%81%E6%B1%82%E8%A7%A3%E8%AF%BB&amp;rev=1765791512&amp;do=diff</link>
        <description>GB 15084-2022：CMS视镜类型及视野要求解读

CMS摄像头监控系统（Camera Monitor System）行业称为电子后视镜，是用摄像头+监视器的组合来取代传统的光学后视镜，显示模式为外部摄像头采集图像，处理后显示在舱内显示屏内，同时可以集成类似盲区预警、障碍物提示等功能。</description>
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        <dc:date>2026-07-10T08:03:31+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:standardized_testing:gb_15084_2022_cms</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:gb_15084_2022_cms&amp;rev=1783670611&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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GB 15084-2022: Interpretation of CMS Mirror Types and Field of View Requirements

The Camera Monitor System (</description>
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        <dc:date>2026-02-26T08:24:15+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_眩光</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E7%9C%A9%E5%85%89&amp;rev=1772094255&amp;do=diff</link>
        <description>CMS眩光

CMS 眩光是指车载摄像头监控系统（CMS）在行车场景中受强光直射或反射时，光在镜头透镜表面及镜筒内部发生多次非预期反射与散射，进而导致成像整体对比度下降、出现大面积亮斑的光学干扰现象；法规标准对此制定明确要求，可保障车载</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_depth_of_field&amp;rev=1786068948&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-08-07T02:15:48+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_depth_of_field</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_depth_of_field&amp;rev=1786068948&amp;do=diff</link>
        <description>CMS Depth of Field

I.Definition

Depth of Field (DoF) of a CMS (Camera–Monitor System) refers to the object-distance range behind the vehicle over which targets can be sharply imaged.


In optical imaging, object points outside the focal plane produce defocused blur on the image sensor, typically described by the \(MTF10_{(1:1)}\)$$MTF10_{(1:1)} \geq 0.9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_glare&amp;rev=1783670608&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:28+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_glare</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_glare&amp;rev=1783670608&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Glare

CMS glare refers to the optical interference phenomenon in a Camera Monitor System (CMS) during driving scenarios, where strong direct or reflected light causes multiple unintended reflections and scattering on the lens surfaces and inside the lens barrel, resulting in an overall decrease in image contrast and the appearance of large bright…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_16505_cms%E6%99%AF%E6%B7%B1%E6%B5%8B%E8%AF%95&amp;rev=1782183590&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-06-23T02:59:50+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:标准化测试:iso_16505_cms景深测试</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:iso_16505_cms%E6%99%AF%E6%B7%B1%E6%B5%8B%E8%AF%95&amp;rev=1782183590&amp;do=diff</link>
        <description>ISO 16505：CMS景深测试

定义：

景深是电子后视镜在不同物距下，成像分辨率始终满足车载法规阈值、保障驾驶员清晰识别后方物体的距离范围。与摄影景深不同，CMS景深通过MTF10量化判定，核心关注分辨率是否达标，而非清晰范围的大小。$$MTF10_{(1:1)} \geq 0,9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$$MTF10_{\text{MIN}(1:1)/\text{hor}} = \left( \frac{W_{\text{monitor}/\text{hor}}}{W_{\text{monitor}/\text{hor}/\text{min}}} \right) \cdot M_{\text{mirror}/\text{avg}} \cdot \alpha_{\text{mirror}/\text{hor}/\text{…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_16505_cms_depth_of_field&amp;rev=1783670615&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:35+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:standardized_testing:iso_16505_cms_depth_of_field</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing:iso_16505_cms_depth_of_field&amp;rev=1783670615&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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ISO 16505: CMS Depth of Field Test

Definition:

Depth of field is the distance range over which the imaging resolution of the $$MTF10_{(1:1)} \geq 0,9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$$MTF10_{\text{MIN}(1:1)/\text{hor}} = \left( \frac{W_{\text…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%A8%AA%E5%90%91%E5%9D%87%E5%8C%80%E6%80%A7&amp;rev=1775546585&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-04-07T07:23:05+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_横向均匀性</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%A8%AA%E5%90%91%E5%9D%87%E5%8C%80%E6%80%A7&amp;rev=1775546585&amp;do=diff</link>
        <description>CMS横向均匀性

一、定义

CMS（Camera Monitor System，摄像头监控系统）行业称为电子后视镜，是用摄像头+监视器的组合来取代传统的光学后视镜，显示模式为外部摄像头采集图像，处理后显示在舱内显示屏内，同时可以集成类似盲区预警、障碍物提示等功能。$$\frac{\max\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\} - \min\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\}}{\max\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\}} &lt; 35\%\tag{1}$$…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_horizontal_uniformity&amp;rev=1783670607&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_horizontal_uniformity</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_horizontal_uniformity&amp;rev=1783670607&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Horizontal Uniformity

1. Definition

CMS (Camera Monitor System), commonly referred to in the industry as an electronic rearview mirror, uses a $$\frac{\max\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\} - \min\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \right) \right\}}{\max\left\{ \left( L_{j/\text{white}}(\Theta, \Phi) \ri…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E5%87%A0%E4%BD%95%E7%95%B8%E5%8F%98&amp;rev=1784811078&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T12:51:18+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_几何畸变</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E5%87%A0%E4%BD%95%E7%95%B8%E5%8F%98&amp;rev=1784811078&amp;do=diff</link>
        <description>CMS几何畸变

概念

在车载摄像头监控系统（CMS）中，畸变指成像结果与理想投影模型的偏差，其定义随理想基准不同而变化。

为适配工程应用，主要分为两类：


	*  TV 畸变：以单一参考值表征画面整体弯曲程度，是快速评估系统畸变水平的实用指标。$h_{ideal}$$\text{RadialDistortion} = \frac{\Delta h}{h_{ideal}} = \frac{h_{monitor} - h_{ideal}}{h_{ideal}} = \frac{h_{monitor}}{h_{ideal}} - 1$$h_{monitor}$$h_{ideal}$$h_{monitor}$$h_{monitor}(i) = \frac{1}{2}\left[ w_{monitor}(i) - w_{monitor}(i_{centre}) \right]$$w_{monitor}(i)$$i$$i_{centre}$$h_{ideal}$$h_{monitor}$$h_{ideal}$…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_geometric_distortion&amp;rev=1784811078&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T12:51:18+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_geometric_distortion</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_geometric_distortion&amp;rev=1784811078&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Geometric Distortion

Concept

In the Camera Monitor System (CMS), distortion refers to the deviation of the imaging result from the ideal projection model, and its definition varies depending on the ideal reference.$h_{ideal}$$\text{RadialDistortion} = \frac{\Delta h}{h_{ideal}} = \frac{h_{monitor} - h_{ideal}}{h_{ideal}} = \frac{h_{monitor}}{h_{…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%99%AF%E6%B7%B1&amp;rev=1786017913&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-08-06T12:05:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_景深</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E6%99%AF%E6%B7%B1&amp;rev=1786017913&amp;do=diff</link>
        <description>CMS景深

定义：

CMS 景深指摄像头监控系统（电子后视镜） 后方目标可清晰成像的物距范围。


光学成像中，焦平面外的物点会在像面上形成模糊光斑，即弥散圆；当弥散圆尺寸超出容许阈值时，成像模糊度超出清晰辨识临界，无法识别目标。$$MTF10_{(1:1)} \geq 0,9^*MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]\tag{1}$$$$MTF10_{(1:1)} \geq \frac{1}{2} MTF10_{MIN(1:1)} \left[ \text{LW/PH} \right]]\tag{2}$$$MTF10_{\text{MIN}(1:1)}$$$MTF10_{\text{MIN}(1:1)/\text{hor}} = \left( \frac{W_{\text{monitor}/\text{hor}}}{W_{\text{monitor}/\text{hor}/\text{min}}} \right) \cdot M_{\text{mirror}/\text{avg}} \cdot \alpha_{\text{mirr…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F&amp;rev=1770948519&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-02-13T02:08:39+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_色彩还原</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E8%89%B2%E5%BD%A9%E8%BF%98%E5%8E%9F&amp;rev=1770948519&amp;do=diff</link>
        <description>CMS色彩还原

概念

CMS色彩还原是指摄像头监视系统（CMS）通过外部摄像头捕捉车辆周围场景信息后经图像处理、传输等环节后，在车内监视器上准确复现原始场景色彩的能力。它涵盖了对色调、饱和度、明度等色彩属性的精准还原，确保监视器呈现的色彩与实际场景中物体的固有色彩保持一致或在可接受的偏差范围内。</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_color_reproduction&amp;rev=1783670608&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:28+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_color_reproduction</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_color_reproduction&amp;rev=1783670608&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Color Reproduction

Concept

CMS Color Reproduction refers to the ability of the Camera Monitor System (CMS) to accurately reproduce the colors of the original scene on the in-vehicle monitor after capturing the scene information around the vehicle via external cameras, followed by image processing and transmission. It encompasses the precise repr…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E7%81%B0%E5%BA%A6%E7%AD%89%E7%BA%A7%E5%A4%8D%E7%8E%B0&amp;rev=1769672134&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-01-29T07:35:34+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms_灰度等级复现</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms_%E7%81%B0%E5%BA%A6%E7%AD%89%E7%BA%A7%E5%A4%8D%E7%8E%B0&amp;rev=1769672134&amp;do=diff</link>
        <description>CMS灰度等级复现

测试方法：

在监视器显示灰度等级测试图卡，测量监视器上显示的每个灰色块的亮度，并按公式（1）计算每个灰色块的明度，再按公式（2）计算相邻灰色框块的明度差，需满足图卡\[
L_i^* = 
\begin{cases} 
116 \times \left( \dfrac{Y_i}{Y_{12}} \right)^{1/3} - 16, &amp; \dfrac{Y_i}{Y_{12}} &gt; 0.008856 \\
903.3 \times \left( \dfrac{Y_i}{Y_{12}} \right)^{1/3}, &amp; \dfrac{Y_i}{Y_{12}} \leq 0.008856
\end{cases}
\tag{1}
\]$\Delta L^* = L_{i+1}^* - L_i^* \tag{2} $…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-02-03T08:13:38+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms测试前</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E5%89%8D&amp;rev=1770106418&amp;do=diff</link>
        <description>CMS测试前

CMS测试前需确认提供设备信息及功能，相关参数如下：

1.视镜类别	

明确该产品视镜类别（I、II、III、IV、V、VI、VII）以及为乘客侧还是驾驶员侧产品

 2.法规区域信息	

对于给定试镜类别，法规指定了该类别视镜所必须覆盖的最小视野区域（</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_gray_level_reproduction&amp;rev=1783670607&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_gray_level_reproduction</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_gray_level_reproduction&amp;rev=1783670607&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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CMS Gray Scale Reproduction

Test Method:

Display the gray scale test chart on the monitor, measure the luminance of each gray patch displayed on the monitor, calculate the lightness of each gray patch according to Formula (1), and then calculate the lightness difference between adjacent gray patches according to Formula (2). The requirement is that …</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:30+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_pre_test</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_pre_test&amp;rev=1783670610&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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Pre-CMS Testing

Before CMS testing, it is necessary to confirm the provided equipment information and functions. The relevant parameters are as follows:</description>
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        <dc:date>2026-02-24T02:19:10+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms帧率</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E5%B8%A7%E7%8E%87&amp;rev=1771899550&amp;do=diff</link>
        <description>一、定义

CMS 帧率指车载摄像头监视器系统CMS在单位时间内，从图像采集、处理、传输到监视器完整显示的有效图像总数，单位为 fps（帧/秒）。

      视频数据流的连续图像帧  
该图为视频数据流中的连续图像帧（I₁、I₂、I₃…），其单位时间内的显示频率，即为</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-10T08:03:29+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_frame_rate</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:cms_test_cases:cms_frame_rate&amp;rev=1783670609&amp;do=diff</link>
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I. Definition

CMS frame rate refers to the total number of valid images completely displayed by the vehicle Camera Monitor System (CMS) per unit of time, encompassing image capture, processing, transmission, and display. The unit is</description>
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        <dc:date>2026-07-24T07:49:20+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:standardized_testing</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:standardized_testing&amp;rev=1784879360&amp;do=diff</link>
        <description>Standardized Testing

This section covers standardized testing methods for image quality evaluation, including:

	*  ISO 12233 SFR Testing
	*  ISO 15739 Noise Testing
	*  ISO 16505 CMS Depth of Field Testing
	*  ISO 16505 CMS Color Reproduction Testing
	*  ISO 17850 Distortion Testing
	*  ISO 17957 Shading Testing
	*  ISO 18844 Flare Testing
	*  EMVA 1288
	*  IEEE 2020-2024 CPI Testing
	*  IEEE 2020-2024 Flare Testing
	*  IEEE 2020-2024 Flicker Testing
	*  GB 15084-2022 CMS
	*  GB/T 43249-2023 P…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E6%8C%87%E6%A0%87:mtf_sfr_%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90%E4%B8%8E%E6%B5%8B%E8%AF%95%E5%AE%9E%E8%B7%B5&amp;rev=1785390609&amp;do=diff">
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        <dc:date>2026-07-30T05:50:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:图像质量指标:mtf_sfr_深度解析与测试实践</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%9B%BE%E5%83%8F%E8%B4%A8%E9%87%8F%E6%8C%87%E6%A0%87:mtf_sfr_%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90%E4%B8%8E%E6%B5%8B%E8%AF%95%E5%AE%9E%E8%B7%B5&amp;rev=1785390609&amp;do=diff</link>
        <description>成像系统的“视力表”：MTF/SFR 深度解析与测试实践

当我们谈论成像系统的分辨率（客观物理极限），以及锐度与清晰度（主观视觉感知） 时，MTF/SFR 是量化这些主、客观维度的核心指标，它通过 MTF 曲线，直观地揭示了系统在不同细节尺度下的对比度传递能力。$M = \frac{I_{\max} - I_{\min}}{I_{\max} + I_{\min}}$$ f_{N}= 1 / (2 x PixelPitch)$$$Q = \frac{\sum_{i=1}^{N} SFR_i \, CSF_i}{\sum_{i=1}^{N} CSF_i}, \quad i = 1, 2, \dots, N \tag{L.2}$$\(SFR_i\)\(i\)\(CSF_i\)\(i\)\(N\)$$csf_{\text{lum}}(f) = \frac{(a \cdot f^c) e^{-bf}}{K} \tag{L.1}$$$a = 75$$b = 0.2$$c = 0.8$$K = 102.16$$f$$f_{cut}​ $$$f_{\text{cycles/degree}} = \f…</description>
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        <dc:date>2026-07-24T03:00:19+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:image_quality_factors:mtf_sfr_analysis_and_testing</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:image_quality_factors:mtf_sfr_analysis_and_testing&amp;rev=1784862019&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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The &quot;Eye Chart&quot; of Imaging Systems: In-depth Analysis and Testing Practices of MTF/SFR

When discussing the resolution (objective physical limit) of an imaging system, as well as sharpness and clarity (subjective visual perception), MTF/SFR are the core metrics for quantifying these objective and subjective dimensions. Through the MTF curve, they intu…</description>
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        <dc:date>2026-07-23T11:59:47+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:camera测试用例:成像质量评价</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7&amp;rev=1784807987&amp;do=diff</link>
        <description>成像质量评价

 概述

成像质量评价（Image Quality Assessment, IQA）指在给定条件（如相机的被摄场景、照明环境及显示设备的输入等）下，对成像系统的成像性能（如分辨率、噪声、畸变、色彩、动态范围等）进行主客观分析与评估。成像质量直接影响图像的实用价值 —— 例如人类观察者的视觉体验（如欣赏照片或影片）或目视效果（如使用</description>
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        <dc:date>2026-07-23T11:59:46+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:test_cases:camera_test_cases:image_quality_evaluation</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:test_cases:camera_test_cases:image_quality_evaluation&amp;rev=1784807986&amp;do=diff</link>
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Image Quality Assessment

Overview

Image Quality Assessment (IQA) refers to the subjective and objective analysis and evaluation of the imaging performance (such as resolution, noise, distortion, color, dynamic range, etc.) of an imaging system under given conditions (such as the captured scene, lighting environment, and display device input of a cam…</description>
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        <dc:date>2026-05-09T11:02:40+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>标准化测试</title>
        <link>https://wiki.yanding.com/doku.php?id=%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95&amp;rev=1778324560&amp;do=diff</link>
        <description>标准化测试

	* emva_1288_图像传感器与相机性能表征标准

	* qc_t_1128-2019_汽车用摄像头_图像解决方案

	* ieee_2020-2024_flare测试

	*  ieee_2020-2024_flicker测试

	*   ieee_2020-2024_cpi测试

	* iso_12233_sfr测试

	* iso_15739_噪声测试

	* iso_17850_畸变测试

	* iso_18844_杂光测试

	* iso_17957_shading测试

	* gb_15084-2022cms视镜类型及视野要求解读

	* iso_16505_cms色彩还原测试

	* iso_16505_cms景深测试

	* gb_t_45500-2025_车载激光雷达性能要求及试验方法

	* gb_t_43249-2023_汽车用被动红外探测系统…</description>
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        <dc:date>2025-10-29T08:32:41+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>keywords</title>
        <link>https://wiki.yanding.com/doku.php?id=keywords&amp;rev=1761726761&amp;do=diff</link>
        <description>动态范围/色彩还原/空间频率响应/均匀性/畸变/杂光/闪烁/CMS/图卡</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B&amp;rev=1761896295&amp;do=diff">
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        <dc:date>2025-10-31T07:38:15+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>测试用例</title>
        <link>https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B&amp;rev=1761896295&amp;do=diff</link>
        <description>camera测试用例

adas测试用例

cms测试用例</description>
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        <dc:date>2026-07-24T02:06:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>研鼎知识库</title>
        <link>https://wiki.yanding.com/doku.php?id=%E7%A0%94%E9%BC%8E%E7%9F%A5%E8%AF%86%E5%BA%93&amp;rev=1784858762&amp;do=diff</link>
        <description>Imagerd Wiki

​​欢迎来到 Imagerd Wiki !

本知识库由研鼎独家创作，全程免费开放，聚焦成像科学与成像质量评估两大核心领域，旨在为不同需求的使用者提供体系化知识支持。

无论您是深耕实践的摄影师、工程师（如光学工程、影像技术领域），专注前沿探索的科研工作者，还是对“图像如何形成”“图像优劣如何评判” 抱有好奇的入门学习者，都能在此找到适配的内容 —— 从 “成像原理”“基础概念（如分辨率、动态范围）” 的通俗解析，到 “图像质量测试解决方案（如车载摄像头QC/T 1128测试方案、电子后视镜CMS测试方案等）”“通用标准化测试（如 ISO 12233 分辨率测试、ISO 18844 杂光测试）”的深度拆解，覆盖从入门到进阶的全维度知识。…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-15T12:13:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:keywords</title>
        <link>https://wiki.yanding.com/doku.php?id=en:keywords&amp;rev=1784117593&amp;do=diff</link>
        <description>dynamic range/color reproduction/spatial frequency response/uniformity/distortion/flare/flicker/CMS/test charts</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%9B%BE%E5%8D%A1:%E5%A6%82%E4%BD%95%E9%80%89%E6%8B%A9%E5%90%88%E9%80%82%E5%9B%BE%E5%8D%A1&amp;rev=1784811078&amp;do=diff">
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        <dc:date>2026-07-23T12:51:18+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:工具:图卡:如何选择合适图卡</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%9B%BE%E5%8D%A1:%E5%A6%82%E4%BD%95%E9%80%89%E6%8B%A9%E5%90%88%E9%80%82%E5%9B%BE%E5%8D%A1&amp;rev=1784811078&amp;do=diff</link>
        <description>如何选择合适图卡？

在图像质量评估（如摄像头、显示设备、激光雷达等）中，测试图卡是标准化、可复现的核心工具 —— 它能将 “主观视觉感受” 转化为 “客观数据指标”。本文将从基础概念出发，拆解图卡的用途、参数与选型逻辑、图卡材质与装裱、图卡的使用与存储，帮助你精准匹配测试需求以及正确使用图卡。$tan\frac{DFOV}{2}=\frac{D /2}{S}$$D=2S\frac{DFOV}{2}$$OD = \log_{10}\left( \frac{I_{0}}{I} \right)$$实际最小物理精度（微米）=\frac{25400}{DPI}$…</description>
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    <item rdf:about="https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide&amp;rev=1784811078&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-07-23T12:51:18+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide</title>
        <link>https://wiki.yanding.com/doku.php?id=en:yanding:image_quality_evaluation:tools:test_charts:chart_selection_guide&amp;rev=1784811078&amp;do=diff</link>
        <description>FIXME This page is not fully translated, yet. Please help completing the translation.

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How to Choose the Right Test Chart?

In image quality evaluation (e.g., for cameras, display devices, LiDAR, etc.), test charts are standardized and reproducible core tools—they translate $tan\frac{DFOV}{2}=\frac{D /2}{S}$$D=2S\frac{DFOV}{2}$$OD = \log_{10}\left( \frac{I_{0}}{I} \right)$$实际最小物理精度（微米）=\frac{25400}{DPI}$</description>
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