Detection of Abnormalities in Wireless Capsule Endoscopy Frames using Local Fuzzy Patterns

Wireless capsule endoscopy (WCE) is a relatively new technology that captures images of the entire gastrointestinal tract non-invasively and painlessly. A large number of frames arecaptured during an examination. The main difficulty for physicians is to review the frames visually. In recent years, somemethods have been devised to help physicians. Here, a novel method is devised to distinguish among frames whether theframes contain abnormal region or not. This goal is achievedusing local fuzzy patterns (LFP) that is compared with rotation invariant local binary patterns (LBP). In addition to thiscomparison, four color channels (red, hue, green, and gray scale) are examined to find the best one for using LFP. Experimental results indicate that LFP is a powerful method for texture detection, and can develop the LBP results in the WCE frames.

Detection of Abnormalities in Wireless Capsule Endoscopy Frames using Local Fuzzy Patterns Keywords:

component , Wireless Capsule Endoscopy , Local Fuzzy Patterns , Local Binary Patterns , Neural Network