Skin Disease Recognition Method Based on Image Color and Texture Features
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Skin diseases have a serious impact on people’s life and health.
Current research proposes an efficient approach to identify singular type of skin diseases.
It is necessary to develop automatic methods in order to increase the accuracy of diagnosis for multitype skin diseases.
In this paper, three type skin diseases such as herpes, dermatitis, and psoriasis skin disease could be identified by a new recognition method.
Initially, skin images were preprocessed to remove noise and irrelevant background by filtering and transformation.
Then the method of grey-level co-occurrence matrix (GLCM) was introduced to segment images of skin disease.
The texture and color features of different skin disease images could be obtained accurately.
Finally, by using the support vector machine (SVM) classification method, three types of skin diseases were identified.
The experimental results demonstrate the effectiveness and feasibility of the proposed method.
American Psychological Association (APA)
Wei, Li-sheng& Gan, Quan& Ji, Tao. 2018. Skin Disease Recognition Method Based on Image Color and Texture Features. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132207
Modern Language Association (MLA)
Wei, Li-sheng…[et al.]. Skin Disease Recognition Method Based on Image Color and Texture Features. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1132207
American Medical Association (AMA)
Wei, Li-sheng& Gan, Quan& Ji, Tao. Skin Disease Recognition Method Based on Image Color and Texture Features. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132207
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132207