학술논문
GPU based implementation of spatial fuzzy c-means algorithm for image segmentation
Document Type
Conference
Author
Source
2016 4th IEEE International Colloquium on Information Science and Technology (CiSt) Information Science and Technology (CiSt), 2016 4th IEEE International Colloquium on. :460-464 Oct, 2016
Subject
Language
ISSN
2327-1884
Abstract
In this paper a meaningful parallel implementation of spatial fuzzy c-means (SFCM) is presented. It has an advantage of being a powerful tool of classical fuzzy c-means. The great effort made to come up with this work is to reduce significantly its complexity and time execution simultaneously. This technique is inspired by the technological progress of GPUs hardware. The studies we have conducted are very relevant especially for large images. We have implemented this parallel algorithm using Compute Unified Device Architecture (CUDA) on different NVidia GPU cards. The numerical results in terms of execution time demonstrate a gain up to 80x for GTX 580 versus the sequential implementation.