Dermoscopy Images Enhancement via Multi-Scale Morphological Operations
Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Ther...
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MDPI AG
2021-10-01
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author | Julio César Mello-Román José Luis Vázquez Noguera Horacio Legal-Ayala Miguel García-Torres Jacques Facon Diego P. Pinto-Roa Sebastian A. Grillo Luis Salgueiro Romero Lizza A. Salgueiro Toledo Laura Raquel Bareiro Paniagua Deysi Natalia Leguizamon Correa Jorge Daniel Mello-Román |
author_facet | Julio César Mello-Román José Luis Vázquez Noguera Horacio Legal-Ayala Miguel García-Torres Jacques Facon Diego P. Pinto-Roa Sebastian A. Grillo Luis Salgueiro Romero Lizza A. Salgueiro Toledo Laura Raquel Bareiro Paniagua Deysi Natalia Leguizamon Correa Jorge Daniel Mello-Román |
author_sort | Julio César Mello-Román |
collection | DOAJ |
description | Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Therefore, it is necessary to design an approach that can enhance the contrast and details of dermoscopic images. In this work, we propose a multi-scale morphological approach to reduce the impacts of lack of contrast and to enhance the quality of the images. By top-hat reconstruction, the local bright and dark features are extracted from the image. The local bright features are added and the dark features are subtracted from the image. In this way, images with higher contrast and detail are obtained. The proposed approach was applied to a database of 236 color images of benign and malignant melanocytic lesions. The results show that the multi-scale morphological approach by reconstruction is a competitive algorithm since it achieved a very satisfactory level of contrast enhancement and detail enhancement in dermoscopy images. |
first_indexed | 2024-03-10T07:06:15Z |
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institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T07:06:15Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-f357f5cee0724da1a261b54fa66173bd2023-11-22T15:50:43ZengMDPI AGApplied Sciences2076-34172021-10-011119930210.3390/app11199302Dermoscopy Images Enhancement via Multi-Scale Morphological OperationsJulio César Mello-Román0José Luis Vázquez Noguera1Horacio Legal-Ayala2Miguel García-Torres3Jacques Facon4Diego P. Pinto-Roa5Sebastian A. Grillo6Luis Salgueiro Romero7Lizza A. Salgueiro Toledo8Laura Raquel Bareiro Paniagua9Deysi Natalia Leguizamon Correa10Jorge Daniel Mello-Román11Computer Engineer Department, Universidad Americana, Asunción 1206, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1206, ParaguayFacultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 111421, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1206, ParaguayDepartment of Computer and Electronics, Universidade Federal do Espírito Santo, São Mateus 29932-540, ES, BrazilComputer Engineer Department, Universidad Americana, Asunción 1206, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1206, ParaguaySígnal Theory and communications Department, Universitat Politècnica de Catalunya, 08034 Barcelona, SpainHospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 111421, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1206, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1206, ParaguayFacultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Conepción, Concepción 010123, ParaguaySkin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Therefore, it is necessary to design an approach that can enhance the contrast and details of dermoscopic images. In this work, we propose a multi-scale morphological approach to reduce the impacts of lack of contrast and to enhance the quality of the images. By top-hat reconstruction, the local bright and dark features are extracted from the image. The local bright features are added and the dark features are subtracted from the image. In this way, images with higher contrast and detail are obtained. The proposed approach was applied to a database of 236 color images of benign and malignant melanocytic lesions. The results show that the multi-scale morphological approach by reconstruction is a competitive algorithm since it achieved a very satisfactory level of contrast enhancement and detail enhancement in dermoscopy images.https://www.mdpi.com/2076-3417/11/19/9302skin dermoscopy imagesmulti-scale morphological approachtop-hat reconstructioncontrast enhancement |
spellingShingle | Julio César Mello-Román José Luis Vázquez Noguera Horacio Legal-Ayala Miguel García-Torres Jacques Facon Diego P. Pinto-Roa Sebastian A. Grillo Luis Salgueiro Romero Lizza A. Salgueiro Toledo Laura Raquel Bareiro Paniagua Deysi Natalia Leguizamon Correa Jorge Daniel Mello-Román Dermoscopy Images Enhancement via Multi-Scale Morphological Operations Applied Sciences skin dermoscopy images multi-scale morphological approach top-hat reconstruction contrast enhancement |
title | Dermoscopy Images Enhancement via Multi-Scale Morphological Operations |
title_full | Dermoscopy Images Enhancement via Multi-Scale Morphological Operations |
title_fullStr | Dermoscopy Images Enhancement via Multi-Scale Morphological Operations |
title_full_unstemmed | Dermoscopy Images Enhancement via Multi-Scale Morphological Operations |
title_short | Dermoscopy Images Enhancement via Multi-Scale Morphological Operations |
title_sort | dermoscopy images enhancement via multi scale morphological operations |
topic | skin dermoscopy images multi-scale morphological approach top-hat reconstruction contrast enhancement |
url | https://www.mdpi.com/2076-3417/11/19/9302 |
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