Image indexing using color correlograms

被引：897
|
作者：
Huang, J
Kumar, SR
Mitra, M
Zhu, WJ
Zabih, R
机构：
来源：
1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS | 1997年
关键词：
D O I：
10.1109/CVPR.1997.609412
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effective and inexpensive for content-based image retrieval. The correlogram robustly tolerates large changes in appearance mid shape caused by changes in viewing positions, camel a zooms, etc. Experimental evidence suggests that tills new feature outperforms not only the traditional color histogram method but also the recently proposed histogram refinement methods for image indexing/retrieval.
引用
收藏
页码：762 / 768
页数：7
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