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Image Segmentation Method of Gibbs Random Field Accelerated by GPU / 医疗卫生装备
Chinese Medical Equipment Journal ; (6)1989.
Artículo en Chino | WPRIM | ID: wpr-590899
ABSTRACT
Objective To propose an improved C-means segment method based on Gibbs random field accelerated by GPU.Methods The parallel computation of pixel shades was used to take the place of the classical point-by-point method of CPU.By this way,the efficiency was higher than merely using the CPU computation.Results The efficiency of computation was improved over 400%.The load of CPU was reduced and the effect of accelerator was obvious.Conclusion The improved C-means segment method based on Gibbs random field accelerated by GPU enhances the clinical application of image segmentation,the computer rate of which is improved distinctly and closely to real time.[Chinese Medical Equipment Journal,2008,29(2)6-9]

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Ensayo Clínico Controlado Idioma: Chino Revista: Chinese Medical Equipment Journal Año: 1989 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Ensayo Clínico Controlado Idioma: Chino Revista: Chinese Medical Equipment Journal Año: 1989 Tipo del documento: Artículo