Title :
Multi-phase Identification in Microstructures Images Using a GPU Accelerated Fuzzy C-Means Segmentation
Author :
Onchis, Darian M. ; Frunzaverde, Doina ; Gaianu, Mihail ; Ciubotariu, Relu
Author_Institution :
Dept. of Mech. & Mater. Eng., Eftimie Murgu Univ., Resita, Romania
Abstract :
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.
Keywords :
fuzzy set theory; graphics processing units; image segmentation; GPU accelerated fuzzy c-means segmentation; image segmentation; microstructures images; multiphase identification; Acceleration; Algorithm design and analysis; Clustering algorithms; Graphics processing units; Image segmentation; Software algorithms; GPU acceleration; fuzzy c-means segmentation; multi-phase images;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 16th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4799-8447-3
DOI :
10.1109/SYNASC.2014.86
