Paper Info
Title
Objective Comparison of Some Edge Detectors Based on Fuzzy Morphologies
Abstract
In this paper a comparative analysis of several edge detectors based on diverse fuzzy morphologies is performed. In addition, two different processes in order to transform a fuzzy edge image to a thin binary edge image are studied, a recently introduced unsupervised hysteresis based on the determination of a "instability zone" on the histogram and a fuzzy Atanassov's based threshold. The comparison is made according to some performance measures, such as Pratt's figure of merit and the rho-coefficient. The goodness of the employed binarization methods is studied depending on their capability to obtain the best threshold values according to these measures.
Year
DOI
Venue
2011
10.1007/978-3-642-24001-0_36
EUROFUSE 2011: WORKSHOP ON FUZZY METHODS FOR KNOWLEDGE-BASED SYSTEMS
Field
DocType
Volume
Histogram,Computer vision,Computer science,Fuzzy logic,Instability,Hysteresis,Algorithm,Edge detector,Figure of merit,Artificial intelligence,Detector,Binary number
Conference
107
ISSN
Citations 
PageRank 
1867-5662
0
0.34
References 
Authors
12
3
Name
Order
Citations
PageRank
Manuel González Hidalgo19918.29
Sebastià Massanet243834.95
Arnau Mir35914.40