On Intuitionistic Fuzzy Divergence Measure with Application to Edge Detection

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• 作者：Rajeev Kaushik^a ; Rakesh Kumar Bajaj^b ; ^{rakesh.bajaj@juit.ac.in" class="auth_mail" title="E-mail the corresponding author} ; Tanuj Kumar^c
• 关键词：Intuitionistic Fuzzy Set (IFS) ; Exponential Entropy ; Intuitionistic Fuzzy Divergence Measure ; Edge Detection
• 刊名：Procedia Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：70
• 期：Complete
• 页码：2-8
• 全文大小：354 K

文摘

In the present communication, we propose an exponential entropy of order β 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.