像素分析是图像处理相关领域的其他分析（例如形状、纹理等）的基础，正确而有效地识别图像或视频流中像素的色彩及亮度是顺利进行后续工作的保证。在对RGB颜色空间做合理映射变换的基础上,提出了将ART2网络运用于彩色像素的归类，并通过图像处理的过程和结果演示了警戒值调节和“幼态延续”学习的作用。对处理结果的理论分析表明，这种方法符合人类观察图像的心理和生理过程，对阴影等干扰信息具有较强的适应性。

Pixel analysis is the primary step for region,shape and texture analysis and even for semantic analysis. The correctness of the color and luminance analysis of certain pixel in an image or a series of video streams is a guarantee to the acceptable result of other image processing. Based on a reasonable mapping operation to vectors in RGB color space,this paper applies the ART2 to the layered detecting approach to categorize color pixels. The processing steps and final results not only demonstrate the functions of “neoteny learning” and adjusting of vigilance value,but also illustrate that the method is coherent with the human psychological and physiological process of observing an image and also has strong adaptability for shadow noise suppression.