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12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00)
Strategies for optimizing image processing by genetic and evolutionary computation
Vancouver, British Columbia, Canada
November 13-November 15
ISBN: 0-7695-0909-6
ASCII Text
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H. Shimodaira, "Strategies for optimizing image processing by genetic and evolutionary computation," Tools with Artificial Intelligence, IEEE International Conference on, pp. 0151, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000.
 
 
BibTex
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@article{ 10.1109/TAI.2000.889861,
author = {H. Shimodaira},
title = {Strategies for optimizing image processing by genetic and evolutionary computation},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2000},
isbn = {0-7695-0909-6},
pages = {0151},
doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2000.889861},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Strategies for optimizing image processing by genetic and evolutionary computation
SN - 0-7695-0909-6
SP
EP
A1 - H. Shimodaira,
PY - 2000
KW - image processing; evolutionary computation; optimisation; image processing optimization; genetic computation; evolutionary computation; accuracy; computation time
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
H. Shimodaira, Fac. of Inf. & Commun., Bunkyo Univ., Kanagawa, Japan
Abstract: We examine the results of previous attempts to apply genetic and evolutionary computation (GEC) to image processing. In many problems, the accuracy (quality) of solutions obtained by GEC-based methods is better than that obtained by others such as conventional methods, neural networks (NNs) and simulated annealing (SA). However, the computation time required is satisfactory in some problems, whereas it is unsatisfactory in others. We consider the current problems of GEC-based methods and present several measures to achieve still better performance.
Index Terms:
image processing; evolutionary computation; optimisation; image processing optimization; genetic computation; evolutionary computation; accuracy; computation time
Citation:
H. Shimodaira, "Strategies for optimizing image processing by genetic and evolutionary computation," ictai, pp.0151, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000
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