Design of Image Matching Parallel Algorithm Based on Improved Minimum Distance Method
摘要
In order to take advantage of multi-core computing resources to improve the real-time performance of image matching identification,image matching parallel algorithm based on improved minimum distance method is designed.The standard euclidean distance is chosen to replace the simple euclidean distance as the similarity measure of the features,and the MPI+OpenMP hybrid programming model is used to verify the algorithm on multi-core computers.The results show that,the algorithm can reduce the matching error and matching operation time,moreover,MPI+OpenMP hybrid programming model has good speed-up ratio and parallel computational efficiency.
引用本文（GB/T 7714）
ZOU Guoliang,ZHANG Shiming,CHEN Changji,WANG Zhenhua. Design of Image Matching Parallel Algorithm Based on Improved Minimum Distance Method[J]. DOAJ (DOAJ: Directory of Open Access Journals), 2018.
引文网络
本站仅收录题录与摘要供学习参考，全文版权归属出版方；如有侵权请联系我们删除。