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Entropic Approach and Evolution Strategies for Optimizing the Image Segmentation by Pixel Classification: Application to Quality Control
by
M. Merzougui,
M. Nasri,
B. Bouali
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 61 - Number 13 |
| Year of Publication: 2013 |
| Authors: M. Merzougui, M. Nasri, B. Bouali |
10.5120/9989-4834
|
M. Merzougui, M. Nasri, B. Bouali . Entropic Approach and Evolution Strategies for Optimizing the Image Segmentation by Pixel Classification: Application to Quality Control. International Journal of Computer Applications. 61, 13 ( January 2013), 22-28. DOI=10.5120/9989-4834
@article{
10.5120/9989-4834,
author = {
M. Merzougui,
M. Nasri,
B. Bouali
},
title = { Entropic Approach and Evolution Strategies for Optimizing the Image Segmentation by Pixel Classification: Application to Quality Control },
journal = {
International Journal of Computer Applications
},
issue_date = { January 2013 },
volume = { 61 },
number = { 13 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = {
22-28
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume61/number13/9989-4834/
},
doi = { 10.5120/9989-4834 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:09:01.854932+05:30
%A M. Merzougui
%A M. Nasri
%A B. Bouali
%T Entropic Approach and Evolution Strategies for Optimizing the Image Segmentation by Pixel Classification: Application to Quality Control
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 13
%P 22-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, a segmentation method based on pixel classification and evolution strategies is proposed. Before segmentation, the number of classes is determined by the principle of maximum entropy. The proposed approach is validated on some synthetic and real images and, it shows to be very interesting as decision support in quality control.
References
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Index Terms
Computer Science
Information Sciences
Keywords