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An Efficient Gradient based Algorithm for Improving Performance of Image Edge Detection

by Majid Reza Vahidi, Mohammad Mansour Riahi Kashani, Alireza Bagheri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 4
Year of Publication: 2014
Authors: Majid Reza Vahidi, Mohammad Mansour Riahi Kashani, Alireza Bagheri
10.5120/18060-8991

Majid Reza Vahidi, Mohammad Mansour Riahi Kashani, Alireza Bagheri . An Efficient Gradient based Algorithm for Improving Performance of Image Edge Detection. International Journal of Computer Applications. 103, 4 ( October 2014), 7-14. DOI=10.5120/18060-8991

@article{ 10.5120/18060-8991,
author = { Majid Reza Vahidi, Mohammad Mansour Riahi Kashani, Alireza Bagheri },
title = { An Efficient Gradient based Algorithm for Improving Performance of Image Edge Detection },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 4 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number4/18060-8991/ },
doi = { 10.5120/18060-8991 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:39.729430+05:30
%A Majid Reza Vahidi
%A Mohammad Mansour Riahi Kashani
%A Alireza Bagheri
%T An Efficient Gradient based Algorithm for Improving Performance of Image Edge Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 4
%P 7-14
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Quality and execution time are two important factors for evaluation of edge detection algorithms. In these algorithms, there is a trade-off between quality and execution time. Some algorithms only concentrate on quality and some of them are fast and low quality. Efficient methods try to achieve high quality in a low time. This research concentrates on improvement of gradient based edge detection that is fast method and appropriate for real-time processing. The proposed algorithm reduces execution time by removing many pixels from computations. It calculates gradient and angle class of remaining pixels in a very efficient way so that it reinforces quality and locality of edges. The results of this algorithm indicated improvement of performance in comparison to Canny and LOG algorithms.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Edge detection algorithm Gradient of image Angle Class of pixel Non-Maximum Suppression Post reduction of noise Edge detector evaluation Locality of edges Quality of edges.

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