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Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization

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Publication:1603669
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DOI10.1016/S0165-1684(02)00203-7zbMath0995.68082MaRDI QIDQ1603669

Peng-Yeng Yin

Publication date: 15 July 2002

Published in: Signal Processing (Search for Journal in Brave)


zbMATH Keywords

learning algorithmgenetic algorithmsreinforcement learningimage segmentationmultilevel thresholdingmaximum entropy criterion


Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)


Related Items (2)

Enhancement of blood vessels in digital fundus photographs via the application of multiscale line operators ⋮ Fast threshold selection algorithm of infrared human images based on two-dimensional fuzzy Tsallis entropy







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