提出一种基于人眼视觉特性的彩色图象分割方法，不但考虑图象在各颜色坐标系下的分类，而且考虑图象色彩的相似度情况下图象的分类。
We give a color image segmentation method based on human vision property. We use not only the histogram technique but also the minimum color criterion.
本文给出一个彩色图象理解算法。 算法首先对图象上的颜色变化（由光照和物体颜色引起）进行分析与综合，然后分割图象。
We present an algorithm of color image understanding which segments the image after analyzing sur-faces with color variations due to lighting condition and object colors.
用TM6热红外图象作假彩色等密度分割处理，以提取随海而异的地面温度场和土壤类型垂直分带信息；
The information of ground thermal field and soil vertical zonality which differ with elevation is extracted by using the TM6 thermal infrared image to make the pseudo-color-equidensity slicing;
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