On edge detection based on new intuitionistic fuzzy divergence and entropy measures

机译：基于新的直觉模糊散度和熵测度的边缘检测

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Edges of the image plays an important role in the field of digital image processing and computer vision. It reduces the amount of data, extract useful information from the image and also preserve significant structural properties of an input image. Further, it can be used in object and facial expression detection. In this paper, we have proposed new intuitionistic fuzzy divergence and entropy measures with its proof of validity for an intuitionistic fuzzy sets. A new and significant technique has been developed for edge detection. The proposed method has been demonstrated on various sample images. The detected edges of the sample images are true, smooth and sharpen which is found to be better than existing methods.

机译：图像的边缘在数字图像处理和计算机视觉领域中起着重要作用。它减少了数据量，从图像中提取了有用的信息，还保留了输入图像的重要结构特性。此外，它可以用于对象和面部表情检测。本文提出了一种新的直觉模糊散度和熵测度及其对直觉模糊集的有效性的证明。已经开发了一种新的重要技术用于边缘检测。所提出的方法已经在各种样本图像上得到了证明。样本图像的检测边缘真实，平滑和锐化，这被发现比现有方法更好。

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来源
《2016 Fourth International Conference on Parallel, Distributed and Grid Computing》|2016年|689-693|共5页
会议地点 Waknaghat(IN)
作者
Mohd Dilshad Ansari; Arunodaya Raj Mishra; Farhina Tabassum Ansari; Meenu Chawla;
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作者单位

Dept. of Computer Science, Jaypee University of IT, Waknaghat, Solan (HP), India;

Dept. of Mathematics, ITM University Gwalior (MP), India;

Dept. of E. Telecom. Engg., G.H. Raisoni College of Engg., Nagpur (MH), India;

Dept. of Computer Science, Giani Zail Singh Campus, Bhatinda (PB), India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Image edge detection; Entropy; Detectors; Fuzzy sets; Digital images; Feature extraction;

机译：图像边缘检测；熵；检测器；模糊集；数字图像；特征提取;

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专利

1. New Divergence and Entropy Measures for Intuitionistic Fuzzy Sets on Edge Detection [J] . Mohd Dilshad Ansari, Arunodaya Raj Mishra, Farhina Tabassum Ansari International Journal of Fuzzy Systems . 2018,第2期

机译：直觉模糊集边缘检测的新散度和熵测度
2. Exponential intuitionistic fuzzy entropy measure based image edge detection [J] . Abdulmajeed Alsufyani, Hassan Badry M. El-Owny International Journal of Applied Engineering Research . 2018,第10aPta9期

机译：基于指数直觉模糊熵的图像边缘检测
3. Divergence-based cross entropy and uncertainty measures of Atanassov's intuitionistic fuzzy sets with their application in decision making [J] . Song Yafei, Fu Qiang, Wang Yi-Fei, Applied Soft Computing . 2019,第期

机译：atanassov直觉模糊套装在决策中的应用基于分歧的跨熵和不确定性措施
4. On edge detection based on new intuitionistic fuzzy divergence and entropy measures [C] . Mohd Dilshad Ansari, Arunodaya Raj Mishra, Farhina Tabassum Ansari, International Conference on Parallel, Distributed and Grid Computing . 2016

机译：基于新的直观模糊分歧和熵措施的边缘检测
5. Detection of gas/odor based on quartz crystal microbalance sensors and fuzzy similarity measure. [D] . Lo, Yi-Chen. 2009

机译：基于石英晶体微天平传感器和模糊相似性度量的气体/气味检测。
6. An Entropy-Based Knowledge Measure for Atanassov’s Intuitionistic Fuzzy Sets and Its Application to Multiple Attribute Decision Making [O] . Gang Wang, Jie Zhang, Yafei Song, 2018

机译：atanassov直觉模糊集的基于熵的知识措施及其在多个属性决策中的应用
7. On Intuitionistic Fuzzy Divergence Measure with Application to Edge Detection [O] . Kaushik Rajeev, Bajaj Rakesh Kumar, Kumar Tanuj 2015

机译：直觉模糊散度度量在边缘检测中的应用

On edge detection based on new intuitionistic fuzzy divergence and entropy measures

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