ISSN: 2349-5162

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Published in:

Volume 2 Issue 9
October-2015
eISSN: 2349-5162

Unique Identifier

JETIR1509013

Page Number

71-74

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Title

Advanced Edge Detection using Ant Colony Optimization

ISSN

2349-5162

Cite This Article

"Advanced Edge Detection using Ant Colony Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 9, page no.71-74, October-2015, Available :http://www.jetir.org/papers/JETIR1509013.pdf

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Abstract

Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image Edge detection reduces the amount of data and filters out useless information from image, while preserving the important structural properties in an image. Since edge detection is using in image processing for object detection. Ant Colony Optimization (ACO) is used to detect edges in digital images. The techniques generate a pheromone matrix , it represents the edge information at each pixel position on the routes formed by ants dispatched on the image. The edge map of image is obtained using thresholding process . The end points obtained from threshoding process are calculated and the ants are placed at these end points.All the movement of the ants is decided by the local variation of the pixel intensity values. By using an thresholding technique the edges from the final pheromone matrix are extracted. The results are analyze using Shanon’s Entropy function and SNR Values .

Key Words

Edge Detection Methods, Edge Detection using Ant Colony Optimization, Ant Colony Optimization, Edge Detector, Pheromone matrix.

Cite This Article

"Advanced Edge Detection using Ant Colony Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 9, page no. pp71-74, October-2015, Available at : http://www.jetir.org/papers/JETIR1509013.pdf

Publication Details

Published Paper ID: JETIR1509013
Registration ID: 150803
Published In: Volume 2 | Issue 9 | Year October-2015
DOI (Digital Object Identifier):
Page No: 71-74
ISSN Number: 2349-5162

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Cite This Article

"Advanced Edge Detection using Ant Colony Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 9, page no. pp71-74, October-2015, Available at : http://www.jetir.org/papers/JETIR1509013.pdf




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