Optimal multi-level thresholding based on maximum Tsallis entropy via an artificial bee colony approach

DOI10.3390/e13040841zbMath1229.94013OpenAlexW2089045143WikidataQ62619431 ScholiaQ62619431MaRDI QIDQ657561

Le-nan Wu, Yu-Dong Zhang

Publication date: 9 January 2012

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e13040841

zbMATH Keywords

image segmentationartificial bee colonymaximum Tsallis entropymulti-level thresholding

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Measures of information, entropy (94A17)

Related Items (6)

Fractional cumulative residual Kullback-Leibler information based on Tsallis entropy ⋮ Time evolution of relative entropies for anomalous diffusion ⋮ Special issue: Tsallis entropy ⋮ Interaction enhanced imperialist competitive algorithms ⋮ Brain tumor segmentation using DE embedded OTSU method and neural network ⋮ Modified salp swarm algorithm based multilevel thresholding for color image segmentation

Cites Work

• Results on residual Rényi entropy of order statistics and record values
• A multilevel image thresholding using the honey bee mating optimization
• Multilevel minimum cross entropy threshold selection based on particle swarm optimization
• A multi-scale framework for adaptive binarization of degraded document images
• Infrared gait recognition based on wavelet transform and support vector machine
• Fast incremental algorithm for speeding up the computation of binarization
• Bees algorithm for generalized assignment problem
• A novel image thresholding method based on Parzen window estimate

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