Polyp detection and radius measurement in small intestine using video capsule endoscopy

Video Capsule Endoscopy (VCE) was invented in the year 2000 and rapidly became one of the most popular noninvasive non-surgical inspection techniques in the diagnosis of gastrointestinal (GI) tract, especially in small intestine. A critical issue of capsule endoscopic examination is to determine the location and size of polyps. A critical problem associated with capsule endoscopic examination is to localize and correctly estimate the size of polyps for proper clinical treatment. In this paper we present a global statistical method which could automatically detect the polyps in VCE frames and determine their radii. The proposed method gathers the statistical information from available RGB channels. The statistical information is then fed to a support vector machine (SVM) to determine the existence and radii of polyps. The experimental result of this approach shows its improvement of accuracy when compared with other methods in the literature.