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机构地区:[1]Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University
出 处:《Journal of Donghua University(English Edition)》2008年第6期718-725,共8页东华大学学报(英文版)
基 金:National Natural Science Foundation of China (No.60374071)
摘 要:Human's real life is within a colorful world. Compared to the gray images, color images contain more information and have better visual effects. In today's digital image processing, image segmentation is an important section for computers to "understand" images and edge detection is always one of the most important methods in the field of image segmentation. Edges in color images are considered as local discontinuities both in color and spatial domains. Despite the intensive study based on integration of single-channel edge detection results, and on vector space analysis, edge detection in color images remains as a challenging issue.Human's real life is within a colorful world. Compared to the gray images, color images contain more information and have better visual effects. In today's digital image processing, image segmentation is an important section for computers to "understand" images and edge detection is always one of the most important methods in the field of image segmentation. Edges in color images are considered as local discontinuities both in color and spatial domains. Despite the intensive study based on integration of single-channel edge detection results, and on vector space analysis, edge detection in color images remains as a challenging issue.
关 键 词:color edge detection local structure analysis local homogeneity color difference vector
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] U662.9[自动化与计算机技术—计算机科学与技术]
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