Choosing parameters for Rényi and Tsallis entropies within a two-dimensional multilevel image segmentation framework
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- 作者：Anis Ben Ishak anis_isg@yahoo.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multilevel image segmentation ; Two-dimensional histogram ; Entropy parameter tuning ; Quantum Genetic Algorithm
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2017
- 出版时间：15 January 2017
- 年：2017
- 卷：466
- 期：Complete
- 页码：521-536
- 全文大小：3889 K
文摘
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We develop a two-dimensional multilevel thresholding approach.
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We compare the Rényi and Tsallis entropies after tuning automatically their parameters.
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We use Quantum Genetic Algorithm to solve the complex optimization problem.
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We show that the PSNR and SSIM criteria are not sufficiently consistent with human visual perception.