基于GPU加速模糊c均值分割的微结构图像多相识别

2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing Pub Date : 2014-09-01 DOI:10.1109/SYNASC.2014.86

D. Onchis, D. Frunzaverde, Mihail Gaianu, Relu Ciubotariu

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引用次数: 3

摘要

本文提出了一种有效的显微结构图像多相识别算法。该程序是基于一个有效的图像分割使用模糊c均值算法。此外，为了获得大尺寸图像的最佳计算时间，算法在GPU集群上进行了加速。在相同的实验图像上与商业软件得到的结果进行了比较，验证了算法的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-phase Identification in Microstructures Images Using a GPU Accelerated Fuzzy C-Means Segmentation

This paper presents an effective algorithm for the identification of multiple phases in microstructures images. The procedure is based on an efficient image segmentation using the fuzzy c-means algorithm. Furthermore, the algorithm is accelerated on a GPU cluster in order to obtain optimal computing times for large size images. The results are compared on the same experimental images with the ones obtained from a commercial software and the accuracy of the proposed algorithm is demonstrated.

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2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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