| 4 | COLOR-SCALE MORPHOLOGICAL FILTERS WITH MULTIPLE STRUCTURING ELEMENTS显示文摘With the wide use of color in many areas, the interest on the color perception and processing has been growing rapidly. An important topic in color image processing is the development of efficient tools capable of filtering images without blurring them and without changing their original chromatic contents. In this paper, a new technique reducing noise of color image is developed. A class of color-scale morphological operations is introduced, which extend mathematical morphology to color image processing, representing a color image as a vector function. The correlation between color components is utilized to perform noise removal. Color-scale morphological niters with multiple structuring elements (CSMF-MSEs) are proposed. Their properties are discussed and proved. Experimental results show that CSMF-MSEs are suitable and powerful to eliminate noise and preserve edges in color image because of efficient utilization of inherent correlation between color components, and they perform better than vector | Jiang Gangyi(AI & PR Open Lab. Shantou University, Shantou 515063 National Laboratory on Machine Perception, Peking University, Beijing 100871)Yu Mei Yu Bokang(Dept. of Electronic Eng. Hangzhou Institute of Electronic Eng., Huangzhou 310025)Zheng Yi (AI & PR Open Lab. Shantou University, Shantou 515063) | 2000 | Journal of Electronics(China)2000，17，1： | 0 |
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