对基于BP神经网络的CMY到xyz颜色空间转换算法进行了探讨，给出了算法工作流程并建立了模型。
Based on BP neural network, algorithm transforming CMY to XYZ color space was dis - cussed. Working flow of transforming algorithm was given and algorithm model was established.
在常见的RGB颜色空间的上，建立了肤色模型，通过有效的阈值估计方法，实现肤色识别。
Firstly, in common RGB color space, established the skin model, through effective threshold estimation method, realized the skin recognition.
通过比较研究多个彩色空间模型及其对应色差公式用于颜色识别的识别效果，作者找出了其中利于颜色识别的彩色空间模型及对应色差公式。
Based on the comparative research on different color space models and the color-difference formulas of different color Spaces, we find out some practical color space and its color difference formulas.
用计算机描述和处理图象颜色首先要选择合适的颜色空间（模型），并提取图象的主要颜色特征。
The first stage should be the selection of an appropriate color space and extracting the major color characteristics when describing and processing an image with computer.
简单介绍RGB彩色模型与YUV彩色模型，以及面部照片中皮肤颜色在YUV彩色空间中的详细分析。
An introduction of RGB color model and YUV color model, the particular analysis of skin color in photo use YUV color model.
其中HSV空间更符合人眼感知色彩的方式，此空间模型具有线性伸缩性良好，色差与颜色分量在相应值上的欧几里德距离成比例等优点。
This thesis introduced RGB space, CMYK space, HSV space. All these spaces, HSV space is more suitable for human to perceive color. Also, this model has good linear scalability advantages.
本文介绍了常用的三种肤色检测模型：统计颜色模型、色度空间模型和高斯混合模型。
This paper introduced three skin-color detecting model: Statistical color model, Chroma Space model and Gaussian Mixture model.
文中算法采用HSV颜色空间，通过对背景统计模型中各颜色分量的有效分析和区别使用，能够很好地适应不同的环境光照条件。
HSV color model is also used and its color components are analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination conditions.
文中算法采用HSV颜色空间，通过对背景统计模型中各颜色分量的有效分析和区别使用，能够很好地适应不同的环境光照条件。
HSV color model is also used and its color components are analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination conditions.
应用推荐