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Unsupervised Image Segmentation Circuit Based on Fuzzy C-Means Clustering

Authors:
Wen-Jyi Hwang
Zhe-Cheng Fan
Tsung-Mao Shen

Keywords: FPGA; Image Segmentation; Unsupervised Clustering; System-on-Chip

Abstract:
This paper presents a novel VLSI architecture for unsupervised image segmentation. The circuit is a hardware implementation of fuzzy c-means algorithm for the unsupervised clustering. The number of segments is determined by Xie-Beni index. An efficient pipeline circuit is proposed for the computation of the index. The circuit is used as a hardware accelerator of a softcore processor in a system-on-programmable chip for physical performance measurement. Experimental results reveal that the proposed architecture is an effective alternative for realtime segmentation with low error rate and area costs.

Pages: 23 to 30

Copyright: Copyright (c) IARIA, 2012

Publication date: August 19, 2012

Published in: conference

ISSN: 2308-426X

ISBN: 978-1-61208-213-4

Location: Rome, Italy

Dates: from August 19, 2012 to August 24, 2012