Evaluation and Enhancement on Medical Images
Objective: The aim of the paper is to study enhancement algorithm on mammograms, and quantitative measures of contrast enhancement. Method: The gray uniformity is defined by edge value, standard deviation and entropy for mammograms. The adjusting factor is presented to adjust the contrast enhancemen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2008-03-01
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| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1260/174830108784300312 |
| _version_ | 1828492592440934400 |
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| author | Lei Sun Changying Wang Shuyan Wang |
| author_facet | Lei Sun Changying Wang Shuyan Wang |
| author_sort | Lei Sun |
| collection | DOAJ |
| description | Objective: The aim of the paper is to study enhancement algorithm on mammograms, and quantitative measures of contrast enhancement. Method: The gray uniformity is defined by edge value, standard deviation and entropy for mammograms. The adjusting factor is presented to adjust the contrast enhancement in the whole image. Then the uniformity based-on algorithm is applied to enhance mammograms. Four quantitative measures of contrast enhancement are put forward. And for the first time, the presented algorithm is compared with two other existing contrast enhancement techniques—histogram equalization and morphological enhancement. Results: The index shows that the presented algorithm is found to perform better than histogram equalization and morphological enhancement. Conclusion: A lot of experiments and comparisons are needed to study the relativity among DSM, TBCs, TBCe and the final index. Based on those, contrast enhancement algorithm for mammograms and rational evaluation system and measures can be found. |
| first_indexed | 2024-12-11T11:23:05Z |
| format | Article |
| id | doaj.art-72d97f6967a64def954005484c7db094 |
| institution | Directory Open Access Journal |
| issn | 1748-3018 1748-3026 |
| language | English |
| last_indexed | 2024-12-11T11:23:05Z |
| publishDate | 2008-03-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of Algorithms & Computational Technology |
| spelling | doaj.art-72d97f6967a64def954005484c7db0942022-12-22T01:09:05ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262008-03-01210.1260/174830108784300312Evaluation and Enhancement on Medical ImagesLei Sun0Changying Wang1Shuyan Wang2 Information management and system department, Xidian University, Shaanxi Xi'an 710071, China College of Computer and Information Technology, Fujian Agriculture and Forest University, Fujian Fuzhou, China Computer science department, Xian Institute of Post &Telecommunication, Shaanxi Xi'an 710061, ChinaObjective: The aim of the paper is to study enhancement algorithm on mammograms, and quantitative measures of contrast enhancement. Method: The gray uniformity is defined by edge value, standard deviation and entropy for mammograms. The adjusting factor is presented to adjust the contrast enhancement in the whole image. Then the uniformity based-on algorithm is applied to enhance mammograms. Four quantitative measures of contrast enhancement are put forward. And for the first time, the presented algorithm is compared with two other existing contrast enhancement techniques—histogram equalization and morphological enhancement. Results: The index shows that the presented algorithm is found to perform better than histogram equalization and morphological enhancement. Conclusion: A lot of experiments and comparisons are needed to study the relativity among DSM, TBCs, TBCe and the final index. Based on those, contrast enhancement algorithm for mammograms and rational evaluation system and measures can be found.https://doi.org/10.1260/174830108784300312 |
| spellingShingle | Lei Sun Changying Wang Shuyan Wang Evaluation and Enhancement on Medical Images Journal of Algorithms & Computational Technology |
| title | Evaluation and Enhancement on Medical Images |
| title_full | Evaluation and Enhancement on Medical Images |
| title_fullStr | Evaluation and Enhancement on Medical Images |
| title_full_unstemmed | Evaluation and Enhancement on Medical Images |
| title_short | Evaluation and Enhancement on Medical Images |
| title_sort | evaluation and enhancement on medical images |
| url | https://doi.org/10.1260/174830108784300312 |
| work_keys_str_mv | AT leisun evaluationandenhancementonmedicalimages AT changyingwang evaluationandenhancementonmedicalimages AT shuyanwang evaluationandenhancementonmedicalimages |