肤色检测 [英] Skin Color Detection

问题描述

我正在使用以下算法来检测肤色，但它在不同的光照条件下效果不佳.任何人都可以提供任何建议如何改进它或提出更好的方法

I am using the following algorithm to detect skin color, but its not working real well in different lighting conditions. Can anybody offer any advice how to improve it or suggest a better approach

R > 95 AND G > 40 AND B > 20 AND
max{R, G, B} – min{R, G, B} >15 AND
|R – G| > 15 AND
R > G AND R > B
OR
R > 220 AND G > 210 AND B > 170 AND
|R – G| <= 15 AND
R > B AND G > B

http://softexpert.wordpress.com/2007/10/17/skin-color-detection/

干杯

推荐答案

你给定的算法是简单的基于颜色的阈值.这仅适用于一组非常基本的条件.对于一些图片，它可能会给出非常好的结果，但作为一个通用检测器，它会给出很差的结果.

Your given algorithm is simple colour based thresholding. This will only work for a very basic set of conditions. For a few pictures it may give really good results but as a general detector it will give poor results.

您的第一道攻击线应该是切换到对照明不变的不同颜色模型.实际上，您提供的链接明确说明了这一点！例如，恒指.就个人而言，我更喜欢用 L*a*b* 做一些事情，但是从 RGB 转换的实现会更加困难.

Your first line of attack should be to switch to a different colour model that is invariant to illumination. In fact, the link that you give explicitly says this! For example, HSI. Personally, I would prefer to do something with L*a*b* but implementation of conversion from RGB would be more difficult.

您应该考虑添加一些额外的先验术语，例如，孤立的像素不能是皮肤.

You should look at adding some additional prior terms, for example, isolated pixels cannot be skin.

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