Edge detection in digital images using guided L0 smoothen filter and fuzzy logic

Kumar, A ORCID: https://orcid.org/0000-0003-4263-7168 and Raheja, S (2021) Edge detection in digital images using guided L0 smoothen filter and fuzzy logic. Wireless Personal Communications: an international journal, 121 (4). pp. 2989-3007. ISSN 0929-6212

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Official URL: https://link.springer.com/article/10.1007/s11277-0...

Abstract

Image segmentation is an important process in computer vision. Recently fuzzy logic based edge detection is heavily investigated as by changing the number of rules edge detection can be improved. However, due to large colour variations in the images false edges are detected and even using fuzzy rules they cannot be reduced significantly. These falsely detected edges can be controlled by using smoothen filter while controlling the degree of smoothness. This paper, presents fuzzy logic based edge detection mechanism while using Guided L0 smoothen filter for the smoothening of image under various degree of smoothens. Simulation results for edge detection is presented for Canny, Sobel, Fuzzy logic based edge detection and finally fuzzy logic edge detection with inclusion of L0 smoothen filter. The results are compared with classical and modern methods. Simulation is performed on Berkley Segmentation Database (BSD) and USC-SIPI Image Database while considering more than 100 images. The obtained F-measure is as high as 0.848.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	25 Apr 2022 08:19
Publisher:	Springer Verlag
Additional Information:	This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11277-021-08860-y
Divisions:	Faculties > Science and Engineering
Subject terms:	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies, Networking & Telecommunications
URI:	https://e-space.mmu.ac.uk/id/eprint/629495
DOI:	https://doi.org/10.1007/s11277-021-08860-y
ISSN	0929-6212
e-ISSN	1572-834X

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