EMPIRICAL COMPARISON OF VISUAL DESCRIPTORS FOR ULCER RECOGNITION IN WIRELESS CAPSULE ENDOSCOPY VIDEO
| Main Authors: | Ouiem Bchir, Mohamed Maher Ben Ismail, Nourah AL_Aseem |
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| Format: | Proceeding Journal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1250238 |
Daftar Isi:
- 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”.