Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 143-145.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Research of Image Classification Algorithm Based on GPU

LI Si-yao, ZHOU Hai-fang,FANG Min-quan   

  1. School of Computer Science,National University of Defense Technology,Changsha 410073,China
  • Online:2018-06-20 Published:2018-08-03

Abstract: This paper introduced three classical image classification algorithms based on GPU,which are Bayes,KNN and SNN. Coprocessing of GPU and CPU is a structure pattern used frequently. Programs with large amount of calculation are working on the GPU,and CPU is used to control.This paper tested the programs.Through testing,the times of the acceleration effect of working on the GPU are 72.472,149.536,125.39.The used framework is Tesla k20c.Bayesian,KNN and SNN algorithms are based on supervised classification.The experiment shows the image process results and the times,which meet the requirements.

Key words: KNN, Simple Bayesian algorithm, SNN, Supervised learning algorithm

CLC Number: 

  • TP391
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