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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Boosting color saliency in image feature detection

Open access
van de Weijer, J., Gevers, T., Bagdanov, A.D.·2006·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

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.

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Metadata

Authors
van de Weijer, J., Gevers, T., & Bagdanov, A. D.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
2006-01
Volume
28
Issue
1
Pages
150-156
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2120504013
Cited by
301
References
4
FWCI
13.72
Type
journal article
Language
en
Open access
green

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