Color Analysis for Segmenting Digestive Organs in VCE

This paper presents an efficient method for automatically segmenting the digestive organs in a Video Capsule Endoscopy (VCE) sequence. The method is based on unique characteristics of color tones of the digestive organs. We first introduce a color model of the gastrointestinal (GI) tract containing the color components of GI wall and non-wall regions. Based on the wall regions extracted from images, the distribution along the time dimension for each color component is exploited to learn the dominant colors that are candidates for discriminating digestive organs. The strongest candidates are then combined to construct a representative signal to detect the boundary of two adjacent regions. The results of experiments are comparable with previous works, but computation cost is more efficient.