Texture classification of SARS infected region in radiographic image
Refereed conference paper presented and published in conference proceedings


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摘要In this paper, we conduct the first study on SARS radiographic image processing. In order to distinguish SARS infected regions from normal lung regions using texture features, we propose several improvements to the traditional gray-level co-occurrence texture features [2]. We use a multi-level feature selection approach to extract texture features from a multi-resolution region based co-occurrence matrix directly for texture classification. The selected texture features can preserve most or the discriminant information in the texture image. Satisfactory results are obtained on a large set of chest radiographic images of SARS patients.
著者Tang XA, Tao DC, Antonio GE
會議名稱International Conference on Image Processing (ICIP 2004)
會議開始日24.10.2004
會議完結日27.10.2004
會議地點Singapore
會議國家/地區新加坡
出版年份2004
月份1
日期1
出版社IEEE
頁次2941 - 2944
國際標準書號0-7803-8554-3
國際標準期刊號1522-4880
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Software Engineering; Imaging Science & Photographic Technology

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