Discretion Way for Bleeding Detection in Wireless Capsule Endoscopy Images

In the case of modern diagnosis technology, WCE (Wireless Capsule Endoscopy) is one of the most efficient and effective technologies for the diagnosis of Gastrointestinal tract noninvasively such as bleeding in intestine areas. Since the duration of the WCE video is so long, it contains a large number of images. Consequently, it makes a huge burden for the physicians to recognize affected portion in the real required time and it is the main obstacle for using the WCE in the wider application. For releasing the extra burden of the clinicians, we have proposed a novel automatic computer-aided system for detecting bleeding in the GI tract. In our proposed method, we have applied some special preprocessing for obtaining the required informative portions of blood. A noble Weighted k-Nearest-Neighbor (WKNN) classifier has applied for separating distinct object with some statistical features in HSV color space. We have successfully achieved accuracy 98.8%, sensitivity 99%, specificity 99%, precision 95%, negative predicted value 99% and F1 score 97% after extensive experiment which will outperform some of the existing researches. More importantly, its computational time is very compared to others.