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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation
Computer Vision and Image Understanding, Volume 109, No. 2, Year 2008
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Description
In this paper, a multilevel thresholding method which allows the determination of the appropriate number of thresholds as well as the adequate threshold values is proposed. This method combines a genetic algorithm with a wavelet transform. First, the length of the original histogram is reduced by using the wavelet transform. Based on this lower resolution version of the histogram, the number of thresholds and the threshold values are determined by using a genetic algorithm. The thresholds are then projected onto the original space. In this step, a refinement procedure may be added to detect accurate threshold values. Experiments and comparative results with multilevel thresholding methods over a synthetic histogram and real images show the efficiency of the proposed method. © 2007 Elsevier Inc. All rights reserved.
Authors & Co-Authors
Hammouche, Kamal
Algeria, Tizi Ouzou
Université Mouloud Mammeri de Tizi Ouzou
Diaf, Moussa
Algeria, Tizi Ouzou
Université Mouloud Mammeri de Tizi Ouzou
Siarry, Patrick
France, Creteil
Université Paris-est Créteil Val de Marne
Statistics
Citations: 234
Authors: 3
Affiliations: 2
Identifiers
Doi:
10.1016/j.cviu.2007.09.001
ISSN:
10773142
e-ISSN:
1090235X
Research Areas
Genetics And Genomics