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.
Artículo
en Chino
| WPRIM
| ID: wpr-268958
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Reconocimiento de Normas Patrones Automatizadas
/
Interpretación de Imagen Asistida por Computador
/
Endoscopía Capsular
/
Métodos
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Journal of Southern Medical University
Año:
2012
Tipo del documento:
Artículo
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