Medical image segmentation based on Gibbs morphological gradient and distance map Snake model / 南方医科大学学报
Journal of Southern Medical University
;
(12): 48-51, 2008.
Artigo
em Chinês
| WPRIM
| ID: wpr-281484
ABSTRACT
<p><b>OBJECTIVE</b>To propose a new algorithm for medical image segmentation based on Gibbs morphological gradient and distance map (DM) Snake model, which allows identification of the correct contours of the objects when processing medical images with noises and pseudo-edges.</p><p><b>METHODS</b>Gibbs morphological gradient was deduced and the method for image segmentation based on Gibbs morphological gradient and distance map Snake model was presented.</p><p><b>RESULTS</b>This new medical image segmentation algorithm proved to effectively suppress the noises and pseudo-edges when calculating distance map.</p><p><b>CONCLUSION</b>The proposed algorithm is robust for image noise suppression and allows easy implementation in clinical image segmentation without the need of user interventions.</p>
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Simulação por Computador
/
Processamento de Imagem Assistida por Computador
/
Interpretação de Imagem Assistida por Computador
/
Tomografia Computadorizada por Raios X
/
Sensibilidade e Especificidade
/
Lógica Fuzzy
/
Métodos
Tipo de estudo:
Estudo diagnóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Southern Medical University
Ano de publicação:
2008
Tipo de documento:
Artigo
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