Fuzzy Techniques For Contrast Enhancement Of Mammograms
Breast cancer is the number one disease among women in the world. Primary prevention seems impossible since the causes of breast cancer still remains unknown. However, early detection is the best defensive against breast cancer and it becomes the key to reduce the mortality rate of breast cancer....
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| Format: | Other |
| Language: | English |
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Universiti Sains Malaysia
2011
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| Online Access: | http://eprints.usm.my/50598/ http://eprints.usm.my/50598/2/Fuzzy%20Techniques%20For%20Contrast%20Enhancement%20Of%20Mammograms.pdf |
| _version_ | 1848881764854923264 |
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| author | Oo, Chin Hong |
| author_facet | Oo, Chin Hong |
| author_sort | Oo, Chin Hong |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Breast cancer is the number one disease among women in the world. Primary
prevention seems impossible since the causes of breast cancer still remains unknown.
However, early detection is the best defensive against breast cancer and it becomes the
key to reduce the mortality rate of breast cancer. Today, X-ray mammography becomes
the most common method of detecting breast cancer. However, mammography images
are still notoriously difficult to interpret due to the fuzzy nature of the mammograms
and the low contrast between the breast cancer and its surroundings. Hence,
mammogram contrast enhancement is critical and essential in the tasks of
mammography images interpretation. In this study, an approach to mammogram
contrast enhancement based on fuzzy techniques is build by using C++ Builder. The
application is an integration of conventional and fuzzy enhancement techniques. The
conventional techniques that are used are linear contrast, power-law transformation,
contrast stretching and unsharp mask while the fuzzy enhancement techniques used are
FHH, INT FIT and PD. The project implementation consists of three steps; there are
image pre-processing by using conventional enhancement techniques, fuzzy
enhancement and the last is performance analysis that uses qualitative and quantitative
analysis to evaluate the enhanced mammograms. Overall, all fuzzy enhancement
techniques are able to enhance the contrast of the mammograms. However, both FHH
and INT techniques are better than FIT and PD since FHH and INT can preserve the
information contained in mammograms well compared to FIT and PD. |
| first_indexed | 2025-11-15T18:24:13Z |
| format | Other |
| id | usm-50598 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:24:13Z |
| publishDate | 2011 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-505982021-11-15T08:24:42Z http://eprints.usm.my/50598/ Fuzzy Techniques For Contrast Enhancement Of Mammograms Oo, Chin Hong T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Breast cancer is the number one disease among women in the world. Primary prevention seems impossible since the causes of breast cancer still remains unknown. However, early detection is the best defensive against breast cancer and it becomes the key to reduce the mortality rate of breast cancer. Today, X-ray mammography becomes the most common method of detecting breast cancer. However, mammography images are still notoriously difficult to interpret due to the fuzzy nature of the mammograms and the low contrast between the breast cancer and its surroundings. Hence, mammogram contrast enhancement is critical and essential in the tasks of mammography images interpretation. In this study, an approach to mammogram contrast enhancement based on fuzzy techniques is build by using C++ Builder. The application is an integration of conventional and fuzzy enhancement techniques. The conventional techniques that are used are linear contrast, power-law transformation, contrast stretching and unsharp mask while the fuzzy enhancement techniques used are FHH, INT FIT and PD. The project implementation consists of three steps; there are image pre-processing by using conventional enhancement techniques, fuzzy enhancement and the last is performance analysis that uses qualitative and quantitative analysis to evaluate the enhanced mammograms. Overall, all fuzzy enhancement techniques are able to enhance the contrast of the mammograms. However, both FHH and INT techniques are better than FIT and PD since FHH and INT can preserve the information contained in mammograms well compared to FIT and PD. Universiti Sains Malaysia 2011-04-01 Other NonPeerReviewed application/pdf en http://eprints.usm.my/50598/2/Fuzzy%20Techniques%20For%20Contrast%20Enhancement%20Of%20Mammograms.pdf Oo, Chin Hong (2011) Fuzzy Techniques For Contrast Enhancement Of Mammograms. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik & Elektronik. (Submitted) 90 |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Oo, Chin Hong Fuzzy Techniques For Contrast Enhancement Of Mammograms |
| title | Fuzzy Techniques For Contrast Enhancement Of Mammograms |
| title_full | Fuzzy Techniques For Contrast Enhancement Of Mammograms |
| title_fullStr | Fuzzy Techniques For Contrast Enhancement Of Mammograms |
| title_full_unstemmed | Fuzzy Techniques For Contrast Enhancement Of Mammograms |
| title_short | Fuzzy Techniques For Contrast Enhancement Of Mammograms |
| title_sort | fuzzy techniques for contrast enhancement of mammograms |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/50598/ http://eprints.usm.my/50598/ http://eprints.usm.my/50598/2/Fuzzy%20Techniques%20For%20Contrast%20Enhancement%20Of%20Mammograms.pdf |