Abstract:
Fuzzy C-Means (FCM) is well known as a fuzzy clustering approach offering good performances in image processing applications. The use of the Euclidian distance in the mem...Show MoreMetadata
Abstract:
Fuzzy C-Means (FCM) is well known as a fuzzy clustering approach offering good performances in image processing applications. The use of the Euclidian distance in the membership function causes a tremendous complexity in hardware implementation. For this reason, we propose a modified version of the FCM algorithm aiming at hardware resources minimization. In this paper, a pulse mode hardware architecture of this algorithm is proposed and implemented in a Virtex 6 FPGA platform. Such implementation offers many advantages over software solution, namely in speed.
Date of Conference: 16-19 March 2015
Date Added to IEEE Xplore: 07 December 2015
Electronic ISBN:978-1-4799-1758-7