Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 169-172.doi: 10.11896/j.issn.1002-137X.2017.6A.039

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Study on Optimizations of Basic Image Processing Algorithm

XU Qi-hang, YOU An-qing, MA She and CUI Yun-jun   

  • Online:2017-12-01 Published:2018-12-01

Abstract: To provide useful references for the implementation of real-time and excellent image processing task,taking the open loop tracking algorithm based on template matching in video image as an example,the tracking performance of the algorithm based on MATLAB prototype algorithm was evaluated,and the multi-level optimization process was pre-sented.Starting with an MATLAB prototype algorithm,we began to optimize mainly in the two aspects as below.In improving real-time processing speed,more than 10 levels of optimizations are applied to speed up the algorithm,including C language speeding,multiplication speeding,release speeding,merge operation,CUDA speeding and so on.In terms of improving the correct rate,simple multi-pattern strategy is used.Testing results indicate that the algorithm reaches performance of 30Hz real-time image process and tracking rate of the algorithm is also promoted greatly.

Key words: Pattern match,Speed promotion,Multi-pattern strategy,Targets tracking,Image processing,CUDA architecture

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