Picture Component Technique based SVM Classification and GLCM for Diagnosis and Detection of Dermoscopic Images

Abstract: Picture Component Technique (PCT) based Support Vector Machine (SVM) classifier is supervised learning model used for classification, regression analysis. This classifier associated with learning algorithms and this learning algorithms are used to analyze data and recognize patterns. Gray Level Co-Occurrence Matrix (GLCM) is used to extract second order statistical texture features and it has done motion estimation of images. In statistical texture analysis, texture features are computed from the statistical distribution of observed combinations of intensities at specified position relative to each other in the image.

Keywords: Picture Component Technique (PCT), Support Vector Machine (SVM) classification, Gray Level Co occurrence Matrix (GLCM), Expectation Maximization (EM), Optical Coherence Tomography (OCT).