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作 者:WANG Yi,ZHAI Hongchen,LIANG Yanmei,ZHANG Siyuan & MU Guoguang Institute of Modern Optics,Nankai University,Tianjin 300071,China Key Laboratory of Information Sci-ence and Technology MOE,Tianjin 300071,China
出 处:《Science China(Technological Sciences)》2004年第2期159-165,共7页中国科学(技术科学英文版)
基 金:the National Natural Science Foundation of China (Grant No. 60177004);the Natural Science Foundation of Tianjin; the Startup Foundation of Personnel Division of Nankai University.
摘 要:Shape description matrix (SDM) describing regional pixel distribution characteristics of images is defined, with both radial and angular distribution messages taken into account to offer a comprehensive and exact description of the shape characteristics even upon a blurred edge. Using this SDM, a general color histogram (GCH) is developed. Both theoretical and experimental results show that the GCH can be applied to color-image retrievals and recognitions with a high efficiency.Shape description matrix (SDM) describing regional pixel distribution characteristics of images is defined, with both radial and angular distribution messages taken into account to offer a comprehensive and exact description of the shape characteristics even upon a blurred edge. Using this SDM, a general color histogram (GCH) is developed. Both theoretical and experimental results show that the GCH can be applied to color-image retrievals and recognitions with a high efficiency.
关 键 词:SDM similarity degree MATCH degree general COLOR histogram.
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