Segmentation of Skin Lesion Images Using a Combination of Texture and Color Information

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Jabbari Shima; BALEGHI YASSER

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Journal Paper

Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2019 | Volume:8 | Issue:4 Page(s): 87-97

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Title

Segmentation of Skin Lesion Images Using a Combination of Texture and Color Information

Author(s)

Jabbari Shima | BALEGHI YASSER | Issue Writer Certificate

Keywords

dermoscopy imagesQ1

fused texture featuresQ1

geometric active contoursQ1

skin lesionsQ1

segmentationQ1

texture and color informationQ1

Abstract

Skin cancer affects millions of people all around the world. If skin cancer is detected in the early stages, the survival rate is very high. So, computer-aided diagnosis (CAD) systems are being developed to help dermatologists in early and accurate diagnosis. segmentation is the first and most important step in the auto diagnosis systems. The purpose of this paper is to introduce a new method based on geometric active contours that combines texture and color information to separate the lesion area from healthy skin. The innovation of this paper is the way that, color and texture information are combined together to define the speed function and the use of texture features in the form of an image. To evaluate the proposed method, two databases including dermoscopy images, were used. The ISIC2017 database (including 2750 data) and the PH2 database (including 200 data). Experimental results showed that, the proposed algorithm has the highest accuracy (97. 92% for PH2 database and 94. 78% for ISIC2017 test data), sensitivity (97. 83% for PH2 database and 90. 11% for ISIC2017 test data) and specificity (99. 45% for PH2 and 98. 53% for ISIC2017 test data) in comparison with recent state-of-the-art algorithms.

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APA: Copy

Jabbari, Shima, & BALEGHI, YASSER. (2019). Segmentation of Skin Lesion Images Using a Combination of Texture and Color Information. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 8(4 ), 87-97. SID. https://sid.ir/paper/245901/en

Vancouver: Copy

Jabbari Shima, BALEGHI YASSER. Segmentation of Skin Lesion Images Using a Combination of Texture and Color Information. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2019;8(4 ):87-97. Available from: https://sid.ir/paper/245901/en

IEEE: Copy

Shima Jabbari, and YASSER BALEGHI, “Segmentation of Skin Lesion Images Using a Combination of Texture and Color Information,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 8, no. 4 , pp. 87–97, 2019, [Online]. Available: https://sid.ir/paper/245901/en

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