Detection of peptic ulcers based on thresholding and watershed segmentation

Peptic ulcers are an outcome of the reaction and consequences of the digestive action of pepsin enzyme and the caustic part of the stomach acid. Peptic ulcers are like a lesion in the mucous layer of the digestive tract. In the modern ascensions of the electronic field, segmentation of peptic ulcers using endoscopic images has turned out to be an emergent area in the medical image processing discipline. Peptic ulcer detection helps the user to determine the precise size of the ulcers. We have suggested a synergistic and an effective algorithm for the detection of peptic ulcers based on watershed, and threshold segmentation and morphological operators. In this proposed approach we enhance the quality of the endoscopic image and then to detect the ulcers, the morphological operators are applied.