Recognition of Diseases in Human caused by Worms via Wireless Capsule Endoscopy

Parasitic diseases in human caused by intestinal helminthes are the most prevalent diseases in human in developing countries. Intestinal parasites cause a significant morbidity and mortality in endemic countries.To view the whole gastrointestinal tract, wireless capsule endoscopy (WCE) has been used. This is the first minority works to systematically explore the routine recognition of diseases of worms in human using WCE. To confine the properties of worms, the connected component algorithm is first applied to partition an image into segments and Region props is used to measure the properties of worms from segmented image. Supervised learning technique is deployed to classify the WCE. To classify the worms, K-nearest neighbor technique is then proposed. Experimental results shows the overall performance and the time reduction.