Adaptive color independent components based SIFT descriptors for image classification

Danni Ai*, Xianhua Han, Xiang Ruan, Yen Wei Chen

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

This paper proposes an adaptive color independent components based SIFT descriptor (termed CIC-SIFT) for image classification. Our motivation is to seek an adaptive and efficient color space for color SIFT feature extraction. Our work has two key contributions. First, based on independent component analysis (ICA), an adaptive and efficient color space is proposed for color image representation. Second, in this ICA-based color space, a discriminative CIC-SIFT descriptor is calculated for image classification. The experiment results indicate that (1) contrast between objects and background can be enhanced on the ICA-based color space and (2) the CIC-SIFT descriptor outperforms other conventional color SIFT descriptors on image classification.

源语言英语
主期刊名Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
2436-2439
页数4
DOI
出版状态已出版 - 2010
已对外发布
活动2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, 土耳其
期限: 23 8月 201026 8月 2010

出版系列

姓名Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

会议

会议2010 20th International Conference on Pattern Recognition, ICPR 2010
国家/地区土耳其
Istanbul
时期23/08/1026/08/10

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