Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images
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DOI：
10.1007/s10044-008-0136-8
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发表时间：
2009-12-01
影响因子：
3.9
通讯作者：
Vecsei, Andreas
中科院分区：
文献类型：
--
作者：
Haefner, Michael;Kwitt, Roland;Vecsei, Andreas
在这篇文章中，我们讨论了一组图像特征的鉴别能力，提取的细节子带的Gabor小波变换和双树复小波变换的计算机辅助变焦内窥镜图像分类的目的。我们将颜色通道的信息到分类过程中，并表明，这导致上级的分类结果，亮度通道仅基于图像分析相比。
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.