Adaptive Edge Detection Based on Interval-Valued Fuzzy Sets
Vahid Aghighi, Mohammad-R. Akbarzadeh-T, Mahdi Yaghoobi, Hamid Reza Pourreza · 2011
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.