Efficient classification of images in wireless endoscopy

Endoscopy is a procedure which enables a physician to view the inside of your intestines and other organs of the digestive or respiratory systems. Endoscopy can also help identify inflammation, ulcers, and tumors. Upper endoscopy is more accurate than X-rays for detecting abnormal growths such as cancer and for examining the inside of the upper digestive system. In addition, abnormalities can be treated through the endoscope. In the proposed work, we have done pre-processing and processing of the images we got from the wireless endoscopy and results have been drawn in the form of the classification of the images using the data set by the use of LBP, LDPP and Median Filter. The desired results are shown in the form of the images.