Boosting color saliency in image feature detection

被引:198
|
作者
van de Weijer, J
Gevers, T
Bagdanov, AD
机构
[1] INRIA, GRAVIR, Lear Grp, F-38330 Montbonnot St Martin, France
[2] Univ Amsterdam, Fac Sci, ISLA Grp, NL-1098 SJ Amsterdam, Netherlands
[3] Univ Florence, Dipartimento Sistemi & Informat, I-50139 Florence, Italy
关键词
image saliency; feature detection; image statistics; color imaging;
D O I
10.1109/TPAMI.2006.3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of salient feature detection is to find distinctive local events in images. Salient features are generally determined from the local differential structure of images. They focus on the shape-saliency of the local neighborhood. The majority of these detectors are luminance-based, which has the disadvantage that the distinctiveness of the local color information is completely ignored in determining salient image features. To fully exploit the possibilities of salient point detection in color images, color distinctiveness should be taken into account in addition to shape distinctiveness. In this paper, color distinctiveness is explicitly incorporated into the design of saliency detection. The algorithm, called color saliency boosting, is based on an analysis of the statistics of color image derivatives. Color saliency boosting is designed as a generic method easily adaptable to existing feature detectors. Results show that substantial improvements in information content are acquired by targeting color salient features.
引用
收藏
页码:150 / 156
页数:7
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