Image Segmentation Method of Gibbs Random Field Accelerated by GPU
- VernacularTitle:基于图形处理器加速的医学图像分割算法研究
- Author:
Guangbin CHENG
;
Chenghua MA
;
Liwei HAO
- Publication Type:Journal Article
- Keywords:
image segmentation;
Gibbs random field;
graphics processing unit(GPU)
- From:
Chinese Medical Equipment Journal
1989;0(02):-
- CountryChina
- Language:Chinese
-
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]
