1.
Journal of Southern Medical University
;
(12): 948-951, 2012.
Artículo
en Chino
| WPRIM
| ID: wpr-268958
RESUMEN
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.