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A study of Edge Detection Techniques for Segmentation Computing Approaches

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CASCT
© 2010 by IJCA Journal
Number 1 - Article 7
Year of Publication: 2010
Authors:
S.Lakshmi
Dr.V.Sankaranarayanan
10.5120/993-25

S.Lakshmi Dr.V.Sankaranarayanan. Article:A study of Edge Detection Techniques for Segmentation Computing Approaches. IJCA,Special Issue on CASCT (1):35–41, 2010. Published By Foundation of Computer Science. BibTeX

@article{key:article,
	author = {Dr.V.Sankaranarayanan, S.Lakshmi},
	title = {Article:A study of Edge Detection Techniques for Segmentation Computing Approaches},
	journal = {IJCA,Special Issue on CASCT},
	year = {2010},
	number = {1},
	pages = {35--41},
	note = {Published By Foundation of Computer Science}
}

Abstract

Edge is a basic feature of image. The image edges include rich information that is very significant for obtaining the image characteristic by object recognition. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. So, edge detection is a vital step in image analysis and it is the key of solving many complex problems. In this paper, the main aim is to study the theory of edge detection for image segmentation using various computing approaches based on different techniques which have got great fruits.

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