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A Comparative Study of Edge Detection Techniques

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 19
Year of Publication: 2014
Authors:
Ranjeet Kumar Singh
Shashank Shekhar
Ram Bhawan Singh
Vinit Chauhan
10.5120/17631-5949

Ranjeet Kumar Singh, Shashank Shekhar, Ram Bhawan Singh and Vinit Chauhan. Article: A Comparative Study of Edge Detection Techniques. International Journal of Computer Applications 100(19):5-8, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Ranjeet Kumar Singh and Shashank Shekhar and Ram Bhawan Singh and Vinit Chauhan},
	title = {Article: A Comparative Study of Edge Detection Techniques},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {19},
	pages = {5-8},
	month = {August},
	note = {Full text available}
}

Abstract

The edge detection is considered as a verysignificant technique in the field of Computer Vision. The term: 'edges' is used to define the boundaries between regions in a particular image, which supports with object segmentation and also in recognition of an object. In this paper authors focus a comparative study of edge detection techniques such as Sobel, Robert, Prewitt and impact of noise on it. The Experiment results find the edges of original image with the help of different type of edge detection technique such as Robert, Sobel and Prewitt and then we notice the quality of image with the help of PSNR, SNR, and Correlation Coefficient.

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