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A Comparative Analysis of Thresholding and Edge Detection Segmentation Techniques

by Jaskirat Kaur, Sunil Agrawal, Renu Vig
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 15
Year of Publication: 2012
Authors: Jaskirat Kaur, Sunil Agrawal, Renu Vig
10.5120/4898-7432

Jaskirat Kaur, Sunil Agrawal, Renu Vig . A Comparative Analysis of Thresholding and Edge Detection Segmentation Techniques. International Journal of Computer Applications. 39, 15 ( February 2012), 29-34. DOI=10.5120/4898-7432

@article{ 10.5120/4898-7432,
author = { Jaskirat Kaur, Sunil Agrawal, Renu Vig },
title = { A Comparative Analysis of Thresholding and Edge Detection Segmentation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 15 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number15/4898-7432/ },
doi = { 10.5120/4898-7432 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:32.778339+05:30
%A Jaskirat Kaur
%A Sunil Agrawal
%A Renu Vig
%T A Comparative Analysis of Thresholding and Edge Detection Segmentation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 15
%P 29-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Thresholding and edge detection being one of the important aspects of image segmentation comes prior to feature extraction and image recognition system for analyzing images. It helps in extracting the basic shape of an image, overlooking the minute unnecessary details. In this paper using image segmentation (thresholding and edge detection) techniques different geo satellite images, medical images and architectural images are analyzed. To quantify the consistency of our results error measure is used.

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Index Terms

Computer Science
Information Sciences

Keywords

e_rms Error measures algorithms

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