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The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)
Image Thresholding Using Ant Colony Optimization
Quebec City, Quebec, Canada
June 07-June 09
ISBN: 0-7695-2542-3
ASCII Text
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Alice R. Malisia, Hamid R. Tizhoosh, "Image Thresholding Using Ant Colony Optimization," Computer and Robot Vision, Canadian Conference, pp. 26, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006.
 
 
BibTex
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@article{ 10.1109/CRV.2006.42,
author = {Alice R. Malisia and Hamid R. Tizhoosh},
title = {Image Thresholding Using Ant Colony Optimization},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2006},
isbn = {0-7695-2542-3},
pages = {26},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2006.42},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - Image Thresholding Using Ant Colony Optimization
SN - 0-7695-2542-3
SP
EP
A1 - Alice R. Malisia,
A1 - Hamid R. Tizhoosh,
PY - 2006
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
Alice R. Malisia, University of Waterloo, Waterloo, ON, Canada
Hamid R. Tizhoosh, University of Waterloo, Waterloo, ON, Canada
This study is an investigation of the application of ant colony optimization to image thresholding. This paper presents an approach where one ant is assigned to each pixel of an image and then moves around the image seeking low grayscale regions. Experimental results demonstrate that the proposed ant-based method performs better than other two established thresholding algorithms. Further work must be conducted to optimize the algorithm parameters, improve the analysis of the pheromone data and reduce computation time. However, the study indicates that an ant-based approach has the potential of becoming an established image thresholding technique.
Citation:
Alice R. Malisia, Hamid R. Tizhoosh, "Image Thresholding Using Ant Colony Optimization," crv, pp.26, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006
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