Title :
Comparison of edge detectors
Author :
Jain, Abhishek ; Gupta, Madhu ; Tazi, S.N. ; Deepika
Author_Institution :
Electron. & Commun., Gov. Eng. Coll. Ajmer, Ajmer, India
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;
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
DOI :
10.1109/MedCom.2014.7006020
