Feature Extraction on Medical Image using 2D Gabor Filter
Mammography is a specific type of imaging that produces an X-ray picture of the human breast. Detection of tumors at an early stage is important step in diagnosis of the abnormalities in mammograms. In many of the cases, preprocessing process of the raw image involving of enhancement, filtering and...
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| Format: | Article |
| Language: | English |
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Scientific.Net
2011
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| Online Access: | http://eprints.utem.edu.my/id/eprint/4725/ http://eprints.utem.edu.my/id/eprint/4725/1/AMM.52-54.2128.pdf |
| _version_ | 1848887060649213952 |
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| author | Zainudin, Muhammad Noorazlan Shah Mohd Said, Muzalifah Ismail, Mohd Muzafar |
| author_facet | Zainudin, Muhammad Noorazlan Shah Mohd Said, Muzalifah Ismail, Mohd Muzafar |
| author_sort | Zainudin, Muhammad Noorazlan Shah |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Mammography is a specific type of imaging that produces an X-ray picture of the human breast. Detection of tumors at an early stage is important step in diagnosis of the abnormalities in mammograms. In many of the cases, preprocessing process of the raw image involving of enhancement, filtering and determination of textural features have been necessary for successful implementation of this study. Raw image is applied histogram equalization method in order to enhance the image intensity. Thus, the noise of that image is eliminated using Gaussian filtering method. Gabor wavelet based algorithm such Gabor filter is used to extract the feature of that images.
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| first_indexed | 2025-11-15T19:48:23Z |
| format | Article |
| id | utem-4725 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:48:23Z |
| publishDate | 2011 |
| publisher | Scientific.Net |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-47252022-01-07T16:42:03Z http://eprints.utem.edu.my/id/eprint/4725/ Feature Extraction on Medical Image using 2D Gabor Filter Zainudin, Muhammad Noorazlan Shah Mohd Said, Muzalifah Ismail, Mohd Muzafar R Medicine (General) Z665 Library Science. Information Science Mammography is a specific type of imaging that produces an X-ray picture of the human breast. Detection of tumors at an early stage is important step in diagnosis of the abnormalities in mammograms. In many of the cases, preprocessing process of the raw image involving of enhancement, filtering and determination of textural features have been necessary for successful implementation of this study. Raw image is applied histogram equalization method in order to enhance the image intensity. Thus, the noise of that image is eliminated using Gaussian filtering method. Gabor wavelet based algorithm such Gabor filter is used to extract the feature of that images. Scientific.Net 2011-03-01 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/4725/1/AMM.52-54.2128.pdf Zainudin, Muhammad Noorazlan Shah and Mohd Said, Muzalifah and Ismail, Mohd Muzafar (2011) Feature Extraction on Medical Image using 2D Gabor Filter. Applied Mechanics and Materials, 52-54 . pp. 2128-2132. ISSN 1660-9336 (in acceptance letter and journal proceeding) http://www.scientific.net/ |
| spellingShingle | R Medicine (General) Z665 Library Science. Information Science Zainudin, Muhammad Noorazlan Shah Mohd Said, Muzalifah Ismail, Mohd Muzafar Feature Extraction on Medical Image using 2D Gabor Filter |
| title | Feature Extraction on Medical Image using 2D Gabor Filter
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| title_full | Feature Extraction on Medical Image using 2D Gabor Filter
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| title_fullStr | Feature Extraction on Medical Image using 2D Gabor Filter
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| title_full_unstemmed | Feature Extraction on Medical Image using 2D Gabor Filter
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| title_short | Feature Extraction on Medical Image using 2D Gabor Filter
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| title_sort | feature extraction on medical image using 2d gabor filter |
| topic | R Medicine (General) Z665 Library Science. Information Science |
| url | http://eprints.utem.edu.my/id/eprint/4725/ http://eprints.utem.edu.my/id/eprint/4725/ http://eprints.utem.edu.my/id/eprint/4725/1/AMM.52-54.2128.pdf |