UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 10
November-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1510020


Registration ID:
150823

Page Number

104-107

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Title

Comparison of Edge Detection Techniques Using Traditional and Soft Computing Approach

Abstract

One important application of image segmentation is edge detection. Traditional methods are the most common method that are being used in edge detection. Soft computing is an emerging field that consists of elements of Genetic algorithm. A main technique used in Genetic algorithm is Ant Colony Optimi-zation (ACO).The ant colony optimization algorithm is a proba-bilistic technique for solving computational problems which can be reduced to finding good paths through graphs. In this paper the main aim is to find out the edge of the image using both tradi-tional and soft computing approach and also to compare the output to find out which one is the best.

Key Words

Edge detection, Edges, Image segmentation, Genetic Algorithm, Ant Colony Optimization (ACO).

Cite This Article

"Comparison of Edge Detection Techniques Using Traditional and Soft Computing Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 10, page no.104-107, November-2015, Available :http://www.jetir.org/papers/JETIR1510020.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Comparison of Edge Detection Techniques Using Traditional and Soft Computing Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 10, page no. pp104-107, November-2015, Available at : http://www.jetir.org/papers/JETIR1510020.pdf

Publication Details

Published Paper ID: JETIR1510020
Registration ID: 150823
Published In: Volume 2 | Issue 10 | Year November-2015
DOI (Digital Object Identifier):
Page No: 104-107
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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