Ouiem Bchir¹, Mohamed Maher Ben Ismail¹ and Nourah AL_Aseem^1,2, ¹King Saud University, Saudi Arabia and ^1,2Prince Sattam Bin Abdulaziz University, Saudi Arabia

In this work, we empirically compare the performance of various visual descriptors for ulcer detection using real Wireless Capsule Endoscopy WCE video frames. This comparison is intended to determine which visual descriptor represents better WCE frames, and yields more accurate gastrointestinal ulcer detection. The extracted visual descriptors are fed to the ulcer recognition system which relies on Support Vector Machine (SVM) classification to categorize WCE frames as “ulcer” or “non-ulcer”.

Visual descriptors, Ulcer detection, Wireless Capsule Endoscopy.