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.
Artículo
en Chino
| 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:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Simulación por Computador
/
Procesamiento de Imagen Asistido por Computador
/
Interpretación de Imagen Asistida por Computador
/
Tomografía Computarizada por Rayos X
/
Sensibilidad y Especificidad
/
Lógica Difusa
/
Métodos
Tipo de estudio:
Estudio diagnóstico
Límite:
Humanos
Idioma:
Chino
Revista:
Journal of Southern Medical University
Año:
2008
Tipo del documento:
Artículo
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