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.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-268958
Biblioteca responsável:
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.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Reconhecimento Automatizado de Padrão
/
Interpretação de Imagem Assistida por Computador
/
Endoscopia por Cápsula
/
Métodos
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Journal of Southern Medical University
Ano de publicação:
2012
Tipo de documento:
Artigo