MATEC Web of Conferences
Volume 61, 2016The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
|Number of page(s)||4|
|Section||Chapter 2 Electronic Technology and Electrical Engineering|
|Published online||28 June 2016|
Texture Features Based on Area Ternary Pattern for Classification Collagen Second Harmonic Generation Images of Skin Scar
Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education Fujian Normal University Fuzhou, 350007, China
a Corresponding author: email@example.com
We proposed a method that based on area ternary pattern (ATP) operator to extract texture features of collagen second harmonic generation (SHG) images of skin scar. The proposed method includes texture feature extraction in collagen SHG images of skin scar, and classification with a support vector machine. By comparing with other texture feature extractive methods relating to the accuracy with specificity and sensibility, the method was demonstrated to obtain higher accuracy and better performance. It is credible that the proposed method improves clinical diagnosis of scar types and educes the development of new curative methods for dermatology and plastic surgery.
© Owned by the authors, published by EDP Sciences, 2016
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