Title : ( Adaptive Edge Detection Based on Interval-Valued Fuzzy Sets )
Authors: V. Aghighi , Mohammad Reza Akbarzadeh Totonchi , M. Yaghoobi , Hamid Reza Pourreza ,
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Abstract
In this paper, we present an adaptive method for the edge detection based on interval-valued fuzzy sets (IVFSs). We use the method of slipping window with selecting windows of different sizes in different zones of the image. The adaptation of edge detection in different regions may improve its accuracy. This is especially true in images that include different regions with different edge features. The proposed adaptation in edge detection is also fast. Simulations illustrate that the proposed method has improved accuracy as compared to other methods that use IVFSs, but they are not adaptive.
Keywords
, Edge detection, interval-valued fuzzy set, intervalvalued fuzzy entropy, adaptive edge detector
@inproceedings{paperid:1025858,
author = {V. Aghighi and Akbarzadeh Totonchi, Mohammad Reza and M. Yaghoobi and Pourreza, Hamid Reza},
title = {Adaptive Edge Detection Based on Interval-Valued Fuzzy Sets},
booktitle = {7th Iranian Conf. on Machine Vision and Image Processing},
year = {2011},
location = {تهران, IRAN},
keywords = {Edge detection; interval-valued fuzzy set; intervalvalued
fuzzy entropy; adaptive edge detector},
}
%0 Conference Proceedings
%T Adaptive Edge Detection Based on Interval-Valued Fuzzy Sets
%A V. Aghighi
%A Akbarzadeh Totonchi, Mohammad Reza
%A M. Yaghoobi
%A Pourreza, Hamid Reza
%J 7th Iranian Conf. on Machine Vision and Image Processing
%D 2011
