DocumentCode
1793761
Title
Comparison of edge detectors
Author
Jain, Abhishek ; Gupta, Madhu ; Tazi, S.N. ; Deepika
Author_Institution
Electron. & Commun., Gov. Eng. Coll. Ajmer, Ajmer, India
fYear
2014
fDate
7-8 Nov. 2014
Firstpage
289
Lastpage
294
Abstract
Edge detection is the most important pre-processing step in image processing. In this paper we studied various edge detection methods and different kinds of operators using edge detection. The various edge detection techniques such as Robert, sobel, prewitt, canny are compared with each other. In end a new nature inspired algorithm has been proposed and compared with the traditional operators. We see that the number of edges detected are more when detected with the bio-inspired algorithms.
Keywords
edge detection; optimisation; Canny method; Prewitt method; Robert method; Sobel method; bioinspired algorithms; edge detection method; image processing; nature inspired algorithm; optimization algorithm; Biomedical imaging; Detectors; Image edge detection; Laplace equations; Noise; Optimization; Particle swarm optimization; Edge detection; Nature inspired algorithm; Robert; canny; prewitt; sobel;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location
Greater Noida
Print_ISBN
978-1-4799-5096-6
Type
conf
DOI
10.1109/MedCom.2014.7006020
Filename
7006020
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