Diseases Detection in Wireless Capsule Endoscopy Images with Color Feature

Due to a few great advantages such as viewing the entire small intestine with almost non-invasiveness and no sedation over traditional endoscopies and other imaging techniques for gastrointestinal tract diseases, the wireless capsule endoscopy invented by Given Imaging has found its gradually wide applications in hospitals. However, one major issue concerning this new technology is that too many images to be examined by naked eyes cause a huge burden to physicians, so it is very necessary to ease the physician if we can do diseases detection using computerized methods. In this paper, we develop a new method by making use of color feature, also a very important clue for diagnosis by physicians, to discriminate between normal region and abnormal region. Exploiting the color histogram of the image, we can get the distribution of the color in the image. Then we use the minimum distance classifier to judge the status of the regions. Experimental results on our present data prove promising performance of the proposed scheme in detecting bleeding and ulcers.