Efficient Fuzzy C-Means Architecture for Image Segmentation

Efficient Fuzzy C-Means Architecture for Image Segmentation

This paper presents a novel VLSI architecture for image segmentation. The architecture is based on the fuzzy c-means algorithm with spatial constraint for reducing the misclassification rate. In the architecture, the usual iterative operations for updating the membership matrix and cluster centroid...

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Bibliographic Details
Main Authors: Chia-Yen Chang, Wen-Jyi Hwang, Hui-Ya Li
Format: Article
Language:English
Published: MDPI AG 2011-06-01
Series:Sensors
Subjects:
fuzzy c-means
image segmentation
fuzzy clustering
fuzzy hardware
FPGA
reconfigurable computing
system on programmable chip
Online Access:http://www.mdpi.com/1424-8220/11/7/6697/

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http://www.mdpi.com/1424-8220/11/7/6697/

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