Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43733
標題: An image retrieval system based on colors and shapes of objects
作者: Hong, K.L.
詹永寬
Chen, Y.F.
Chan, Y.K.
Cheng, C.C.
關鍵字: content-based image retrieval;perimeter intercepted length;fuzzy;c-mean histogram (FCH);conventional color histogram (CCH)
Project: Lecture Notes in Computer Science
期刊/報告no:: Lecture Notes in Computer Science, Volume 4099, Page(s) 1094-1098.
摘要: 
This paper proposes a color-shape based method (CSBM) based on color, area, and perimeter intercepted lengths of segmented objects in an image. It characterizes the shape of an object by the intercepted lengths obtained by intercepting the object perimeter by eight lines with different orientations passing through the object center. The experimental results show that CSBM provides a better performance than fuzzy color histogram (FCH) and conventional color histogram (CCH). Besides, it is insensitive to translation, rotation, distortion, scaling, and hue variations, but impressionable to contrast and noise variations.
URI: http://hdl.handle.net/11455/43733
ISSN: 0302-9743
Appears in Collections:資訊管理學系

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