Automatic Polyp Detection using DSC Edge Detector and HOG Features
Himanshu Agrahari, Yuji Iwahori, M. K. Bhuyan, Somnath Ghorai, Himanshu Kohli, Robert J. Woodham, Kunio Kasugai · 2014
Endoscopy is a very powerful technology to examine the intestinal tract and to detect the presence of any possible abnormalities like polyps, the main cause of cancer. This paper presents an edge based method for polyp detection in endoscopic video images. It utilizes discrete singular convolution (DSC) algorithm for edge detection/segmentation scheme, then by using conic fitting techniques (ellipse and hyperbola) potential candidates are determined. These candidates are first rotated so as to make major axis in the x-axis direction, and then classified as polyp or non-polyp by SVM classifier which is trained separately for ellipse and hyperbola with HOG features.