An image retrieval system based on colors and shapes of objects

Authors:
Kuo-Lung Hong;Yung-Fu Chen;Yung-Kuan Chan;Chung-Chuan Cheng
Affiliations:
Department of MIS, Chaoyang University of Technology, Taichung, Taiwan;Department of CSIE, National Chin-Yi Institute of Technology, Taichung County, Taiwan;Department of MIS, National Chung Hsing University, Taichung, Taiwan;Department of MIS, Chaoyang University of Technology, Taichung, Taiwan
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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Abstract

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.