由于消除彩色图象中的噪声比一般的黑白图象更困难，因而针对彩色图象中多个单种颜色目标识别过程中的噪声处理问题，使用了一种新的颜色矢量分析法来进行噪声的抑制.首先定义了颜色矢量和平均颜色矢量，通过计算和分析图象象素与各类训练区平均颜色矢量的欧拉距离，快速地将多个被干扰的单色目标分割出来；然后对多个单色目标图象分别进行平滑处理，以消除各自中的噪声，最后再将它们与背景图象进行“叠加”操作，以达到消除彩色图象中噪声的目的.实际应用的结果表明，这种方法的效果是令人满意的.这种方法主要适用于由多个单色目标和复杂背景等组成的彩色图象的噪声抑制.%It is more difficult to eliminate noise in color image than in gray image. In this paper, a method of color vector is described. Using this method, the noise in color image, which is made up of many monochromatic targets, can be restrained. Firstly, color vector is defined, and then the average of color vector is also defined. Secondly, a new analytical method of color vector is introduced. By calculating Euclidean distance between pixel, of which is analyzed, and averages of color vector of trained district, it is possible to segment rapidly the different monochromatic targets, which have been polluted. Thirdly, the images of monochromatic targets are smoothed separately. Finally, by combining the images of monochromatic targets that are processed and one of background, it is can eliminate noise in the color image greatly. The results of the method show that it is satisfy. The method is applicable to eliminate noise in image, which is made up of many monochromatic targets and complex background.
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