A segmentation method for images compressed by fuzzy transforms

In this paper we describe a segmentation method applied to images which are compressed by using Fuzzy Transforms. The segmentation of the images is realized via the FGFCM (Fast Generalized Fuzzy C-Means) clustering algorithm, which is robust to noise and outliers. The optimal number of clusters is d...

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Bibliographic Details
Published in:	Fuzzy sets and systems Vol. 161; no. 1; pp. 56 - 74
Main Authors:	Di Martino, Ferdinando, Loia, Vincenzo, Sessa, Salvatore
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2010
Subjects:	Compressed FGFCM Fuzzy Fuzzy logic Fuzzy relation Fuzzy set theory Fuzzy transform Image segmentation Lukasiewicz t-norm PCAES PSNR Segmentation Similarity Similarity measure Transforms Image segmentation Lukasiewicz t-norm PSNR FGFCM Similarity measure Fuzzy relation PCAES Fuzzy transform
ISSN:	0165-0114, 1872-6801
Online Access:	Get full text
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