Texture Features Based on Area Ternary Pattern for Classification Collagen Second Harmonic Generation Images of Skin Scar

Abstract

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.