On Intuitionistic Fuzzy Divergence Measure with Application to Edge Detection

被引：6
|
作者：
Kaushik, Rajeev [1 ]
Bajaj, Rakesh Kumar [2 ]
Kumar, Tanuj [3 ]
机构：
[1] Gyan Bharti Inst Technol, Meerut 250103, Uttar Pradesh, India
[2] Jaypee Univ Informat Technol, Solan 173234, Himachal Prades, India
[3] Lovely Profess Univ, Phagwara 144411, Punjab, India
来源：
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ECO-FRIENDLY COMPUTING AND COMMUNICATION SYSTEMS | 2015年 / 70卷
关键词：
Intuitionistic Fuzzy Set (IFS); Exponential Entropy; Intuitionistic Fuzzy Divergence Measure; Edge Detection;
D O I：
10.1016/j.procs.2015.10.017
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the present communication, we propose an exponential entropy of order beta for an intuitionistic fuzzy set and a new intuitionistic fuzzy divergence measure for the intuitionistic fuzzy sets along with their proof of validity. Further, a new algorithm for image edge detection has been framed on the basis of the proposed intuitionistic information measures. The implementation and applicability of the proposed algorithm have been illustrated by taking different sample images. The obtained results have been finally analyzed and found to be better than the existing ones. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：2 / 8
页数：7
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