Categorization and Segmentation of Intestinal Content and Pathological Frames in Wireless Capsule Endoscopy Images
containing intestinal content and pathological frames are detected by a Support Vector Machine (SVM) classifier using Local Binary Pattern (LBP), Edge Histogram Descriptor (EHD), Dominant Color Descriptor (DCD), Color Layout Descriptor (CLD) and Gray-Level Co-occurrence Matrix (GLCM) features. Second, intestinal content and pathological frames are segmented into bubbles, ulcer and polyp regions. In this proposed work, accuracy is improved with better classification segmentation over other previous methods.
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