An image retrieval system based on colors and shapes of objects

被引：0

作者：

Hong, Kuo-Lung

Chen, Yung-Fu ^{[1
]}

Chan, Yung-Kuan

Cheng, Chung-Chuan

机构：

[1] Chaoyang Univ Technol, Dept MIS, Taichung 413, Taiwan

[2] Natl Chin Yi Univ Technol, Dept CSIE, Taichung 411, Taiwan

[3] Natl Chung Hsing Univ, Dept MIS, Taichung 402, Taiwan

来源：

PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4099卷

关键词：

content-based image retrieval; perimeter intercepted length; fuzzy c-mean histogram (FCH); conventional color histogram (CCH);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：1094 / 1098

页数：5

共 5 条

[1] Fuzzy color histogram and its use in color image retrieval [J].