ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING
Melanoma is one of the fastest spreading cancers. The aim of the article is to segment the skin lesions from human skin dermatoscopic images covered by melanoma. Threshold segmentation was used, which allows a single skin lesion to be analyzed. It shows the four areas of each based on their color. T...
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2020-09-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/1603 |
| _version_ | 1818663557042012160 |
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| author | Magdalena Michalska |
| author_facet | Magdalena Michalska |
| author_sort | Magdalena Michalska |
| collection | DOAJ |
| description | Melanoma is one of the fastest spreading cancers. The aim of the article is to segment the skin lesions from human skin dermatoscopic images covered by melanoma. Threshold segmentation was used, which allows a single skin lesion to be analyzed. It shows the four areas of each based on their color. The created software monitors the border of skin lesion areas. Segmentation and analysis of the resulting images with different areas of skin change was carried out in the Matlab software. |
| first_indexed | 2024-12-17T05:18:44Z |
| format | Article |
| id | doaj.art-23917da867584b0fbc356a4be2f7dcae |
| institution | Directory Open Access Journal |
| issn | 2083-0157 2391-6761 |
| language | English |
| last_indexed | 2024-12-17T05:18:44Z |
| publishDate | 2020-09-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj.art-23917da867584b0fbc356a4be2f7dcae2022-12-21T22:02:01ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612020-09-0110310.35784/iapgos.1603ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDINGMagdalena Michalska0{'en_US': 'Lublin University of Technology, Department of Electronics and Information Technology'}Melanoma is one of the fastest spreading cancers. The aim of the article is to segment the skin lesions from human skin dermatoscopic images covered by melanoma. Threshold segmentation was used, which allows a single skin lesion to be analyzed. It shows the four areas of each based on their color. The created software monitors the border of skin lesion areas. Segmentation and analysis of the resulting images with different areas of skin change was carried out in the Matlab software.https://ph.pollub.pl/index.php/iapgos/article/view/1603dermatoscopy, melanoma, thresholding, image region analizedermatoscopymelanomathresholdingimage region analysis |
| spellingShingle | Magdalena Michalska ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska dermatoscopy, melanoma, thresholding, image region analize dermatoscopy melanoma thresholding image region analysis |
| title | ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING |
| title_full | ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING |
| title_fullStr | ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING |
| title_full_unstemmed | ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING |
| title_short | ANALYSES OF SKIN LESION AREAS AFTER THRESHOLDING |
| title_sort | analyses of skin lesion areas after thresholding |
| topic | dermatoscopy, melanoma, thresholding, image region analize dermatoscopy melanoma thresholding image region analysis |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/1603 |
| work_keys_str_mv | AT magdalenamichalska analysesofskinlesionareasafterthresholding |