However, color image segmentation is more complex than gray-scale images. In this dissertation, a color image segmentation algorithm based on histogram, FCM clustering, as well as region combination (HRFCM) is proposed. Experiments prove that HRFCM performs well on many color image segmentations. The main job of this dissertation is as follows:1.
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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.
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。
Image color segmentation is a technique of image processing.
图像颜色分割是图像处理的一项技术。
Most existing texture segmentation approaches focus on gray texture images, while this paper presents a color texture image segmentation method, which is based on fractal theory and BP neural network.
现有的纹理分割方法大多集中于研究灰度纹理图像，文中提出一种基于分形理论和BP神经网络的彩色纹理图像分割方法。
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