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An efficient clustering based texture feature extraction for medical image
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Mohamed, M. H. and Abdelsamea, Mohammed M. (2009) An efficient clustering based texture feature extraction for medical image. In: 2008 11th International Conference on Computer and Information Technology, Khulna, Bangladesh, 24 -27 Dec 2008. Published in: 11th International Conference on Computer and Information Technology, 2008. ICCIT 2008 pp. 88-93. ISBN 9781424421350.
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WRAP-efficient-clustering-texture-feature-Abdelsamea-2008.pdf - Accepted Version - Requires a PDF viewer. Download (731Kb) | Preview |
Official URL: http://doi.org/10.1109/ICCITECHN.2008.4803114
Abstract
In some medical applications where a tissue of interest covers a large fraction of the image or a prior knowledge on the region of interest is available, extracting features by fixed blocs in the image is sufficient. However in the general case, one would like to identify features for each tissue in the image. This would require prior image segmentation. Medical image segmentation is one of the most challenging problems in medical image analysis and a very active research topic. Therefore, there is no algorithm available in the general case for isolating medical image regions [1]. This paper presents an accurate method for extracting texture features from medical image for classification. It is based on bloc wise clustering of medical images. The proposed technique extracts accurate and general set of texural features. Experimental result showed the high accuracy of the extracted textural features. Experiments held on Mammographic Image Analysis Society (MIAS) dataset.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | R Medicine > RC Internal medicine | ||||||
| Divisions: | Faculty of Medicine > Warwick Medical School > Biomedical Sciences Faculty of Medicine > Warwick Medical School |
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| Library of Congress Subject Headings (LCSH): | Diagnostic imaging -- Data processing, Diagnostic imaging -- Digital techniques, Image segmentation, Image analysis, Image processing -- Digital techniques, Computer vision, Pattern recognition systems | ||||||
| Journal or Publication Title: | 11th International Conference on Computer and Information Technology, 2008. ICCIT 2008 | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781424421350 | ||||||
| Official Date: | 21 March 2009 | ||||||
| Dates: |
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| Date of first compliant deposit: | 26 January 2018 | ||||||
| Date of first compliant Open Access: | 26 January 2018 | ||||||
| Page Range: | pp. 88-93 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | 2008 11th International Conference on Computer and Information Technology | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Khulna, Bangladesh | ||||||
| Date(s) of Event: | 24 -27 Dec 2008 |
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