Research Of Segmentation Algorithm Of Color Human Slice Image

In the research of visual human, tissue's region segmentation of original color human slice image is essential and first-line. Technology of image segmentation is a difficult and advanced task in the field of image processing and computer vision. Unfortunately, most of algorithms are suitable for gray image, not for color image. Segmentation of color image is mainly realized semi-automatically abroad and manually in our country. It is time-consuming and laborious obviously to deal with numbers of slice images. Therefore, it is very necessary to find an algorithm of color image segmentation having relatively high automation. In this dissertation, author reviews and analyses several kinds of methods of texture feature extraction and image segmentation respectively. On the basis of analyzing the characteristic of domestic color human slice, author proposes an algorithm of tissue segmentation that combine the fractal texture feature with color of slice image. In addition, this algorithm is compared with gray co-matrix algorithm. The algorithm proposed by author converts complicated computation of color image into the computation of homochromy image. It combines image's texture feature with color, and uses multiple homogeneity criterions in the process of region growing. The algorithm is flexible and can be used in different regions by adjusting the weight value of fractal feature distance and color distance between two pixels. This dissertation includes five sections. In the first section, background of visual human is introduced, including the conception, the significance and developed history at home and abroad. In the second section, some image segmentation methods, such as by threshold, by region and by mathematical morphology and so on are described. In the third section, some methods of texture feature computation are set forth, especially the method based on fractal model. In the fourth section, an algorithm suitable to the color human slice is proposed and given a detailed description. Furthermore, the result diagrams are given at the end of this section. The whole work of this dissertation is summarized and the consequent work is proposed at last.