期刊
PATTERN ANALYSIS AND APPLICATIONS
卷 12, 期 4, 页码 407-413出版社
SPRINGER
DOI: 10.1007/s10044-008-0136-8
关键词
Zoom-endoscopy; Wavelet transform; Classification; Texture analysis
资金
- Austrian Science Fund (FWF) [L366-N15]
In this article, we discuss the discriminative power of a set of image features, extracted from detail subbands of the Gabor wavelet transform and the dual-tree complex wavelet transform for the purpose of computer-assisted zoom-endoscopy image classification. We incorporate color channel information into the classification process and show that this leads to superior classification results, compared to luminance-channel-only-based image analysis.
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