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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
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.

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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.