Design and realization of an algorithm for capsule endoscope image recognition system.
- Author:
Kaixuan LI
1
;
Zhexing LIU
;
Side LIU
;
Lijun HE
;
Zhichong LUO
;
Huafeng WANG
Author Information
1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. likaixuan11111@163.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Capsule Endoscopy;
methods;
Image Interpretation, Computer-Assisted;
methods;
Pattern Recognition, Automated;
methods
- From:
Journal of Southern Medical University
2012;32(7):948-951
- CountryChina
- Language:Chinese
-
Abstract:
Discrimination of abnormal images from the numerous wireless capsule endoscope (WCE) video sequence images is laborious and time-consuming, so that a computer-based automatic image recognition system is desired for this task. We propose an algorithm to allow feature extraction from each image channel and decision fusion using multiple BP neural networks. The algorithm was tested and the results demonstrated its high efficiency and accuracy in identification of abnormalities in the WCE images.