Design and realization of an algorithm for capsule endoscope image recognition system / 南方医科大学学报
Journal of Southern Medical University
; (12): 948-951, 2012.
Article
in Zh
| WPRIM
| ID: wpr-268958
Responsible library:
WPRO
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.
Full text:
1
Index:
WPRIM
Main subject:
Algorithms
/
Pattern Recognition, Automated
/
Image Interpretation, Computer-Assisted
/
Capsule Endoscopy
/
Methods
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Journal of Southern Medical University
Year:
2012
Type:
Article