计算机工程2011，Vol.37Issue(15)：197-200,4.DOI:10.3969/j.issn.1000-3428.2011.15.063
多核环境下的图像分割并行算法研究
Research of Parallel Algorithm for Image Segmentation Under Multi-core Environment
摘要
Abstract
This paper studies the parallel algorithm for image segmentation under multi-core environment. It combines the multiresolution image pyramid based on the orthogonal wavelet decomposition with the Fuzzy C-means(FCM) clustering algorithm, and achieves the multi-processor and multi-threaded parallel model of P-FCM with the parallel language of OpenMP. It gives the algorithm implementation of the model. For the original image data preprocessing, the parallel method of rectangular block is used to divide the original image data into sub-rectangular data blocks, which will be used as the input data and assigned to different processor by the mater thread for the parallel computing. Experimental results show that, in dealing with the large size images, this algorithm has high efficiency.关键词
图像分割/多核处理器/OpenMP语言/模糊C-均值算法Key words
image segmentation/multi-core processor/OpenMP/Fuzzy C-means(FCM) algorithm分类
信息技术与安全科学引用本文复制引用
刘张桥,王成良,焦晓军..多核环境下的图像分割并行算法研究[J].计算机工程,2011,37(15):197-200,4.基金项目
重庆市科技攻关计划基金资助项目(CSTC,2009AC2060) （CSTC,2009AC2060）
