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Image Edge Detection based on Soft Computing Approach

by Pushpajit A. Khaire, Nileshsingh V. Thakur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 8
Year of Publication: 2012
Authors: Pushpajit A. Khaire, Nileshsingh V. Thakur
10.5120/8061-1426

Pushpajit A. Khaire, Nileshsingh V. Thakur . Image Edge Detection based on Soft Computing Approach. International Journal of Computer Applications. 51, 8 ( August 2012), 12-14. DOI=10.5120/8061-1426

@article{ 10.5120/8061-1426,
author = { Pushpajit A. Khaire, Nileshsingh V. Thakur },
title = { Image Edge Detection based on Soft Computing Approach },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 8 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number8/8061-1426/ },
doi = { 10.5120/8061-1426 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:51.316222+05:30
%A Pushpajit A. Khaire
%A Nileshsingh V. Thakur
%T Image Edge Detection based on Soft Computing Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 8
%P 12-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Edge detection is one of the most important techniques used for image segmentation. Image segmentation remains a puzzled problem even after four decades of research. In this paper, a soft computing approach based on fuzzy logic is applied on histogram of an image to enhance edge detection technique. We used BSD images for experimentation and their respective ground truths for qualitative evaluation of proposed approach.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Edge detection Fuzzy Logic Histogram Ground Truth BSD (Berkeley Segmentation Database)

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