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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 6, Iss. 7 — Jul. 1, 2008
  • pp: 495–498

Hepatic CT image retrieval based on the combination of Gabor filters and support vector machine

Lijun Jiang, Yongxing Luo, Jun Zhao, and Tiange Zhuang  »View Author Affiliations


Chinese Optics Letters, Vol. 6, Issue 7, pp. 495-498 (2008)


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Abstract

Content-based image retrieval has been an active area of research for more than ten years. Gabor schemes and support vector machine (SVM) method have been proven effective in image representation and classification. In this paper, we propose a retrieval scheme based on Gabor filters and SVMs for hepatic computed tomography (CT) images query. In our experiments, a batch of hepatic CT images containing several types of CT findings are used for the retrieval test. Precision comparison between our scheme and existing methods is presented.

© 2008 Chinese Optics Letters

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(100.6950) Image processing : Tomographic image processing
(100.7410) Image processing : Wavelets

Citation
Lijun Jiang, Yongxing Luo, Jun Zhao, and Tiange Zhuang, "Hepatic CT image retrieval based on the combination of Gabor filters and support vector machine," Chin. Opt. Lett. 6, 495-498 (2008)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-6-7-495


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