Transform based bleeding detection technique for endoscopic images
计算机科学
内窥镜
作者
Mekha Mathew,Varun P. Gopi
出处
期刊:2015 2nd International Conference on Electronics and Communication Systems (ICECS)日期:2015-06-18卷期号:: 1730-1734被引量:20
标识
DOI:10.1109/ecs.2015.7124882
摘要
Wireless Capsule Endoscopy (WCE) has become a great device in Gastrointestinal (GI) tract diagnosis, which can examine the entire GI tract, especially the small intestine without invasiveness and sedation. Bleeding in the digestive tract is a symptom of a disease rather than a disease itself. Hence the detection of bleeding is important in diagnosing many diseases. In this paper we proposes a novel method for distinguishing bleeding regions from normal regions based on Contourlet transform and Local Binary Pattern (LBP). Experiments show that this method provides a high accuracy rate of 96.38% in CIE XYZ colour space for k-Nearest Neighbour (k-NN) classifier.