The Memory-based Bees Algorithm (MBA) is a new optimisation algorithm based on the Bees Algorithm (BA). MBA includes private and social information of honey bees to copy the decision-making capability of the bees. Lévy flights are random processes that are based on a stable distribution called the Lévy distribution. The enhanced so-called Levy MBA (LMBA) is used to reduce the tunableTunable parameters of the basic BA and MBA algorithms. It is tested for Otsu’s multilevelMultilevelimageImagethresholdingThresholding method with the peak signal-to-noiseNoise ratio (PSNR) as the thresholdingThresholdingqualityQualitymeasurementMeasurement. The objective is to find optimalOptimal threshold values, particularly with the highest qualityQuality. The results demonstrated several benchmark problems with the efficiency and robustness of the new algorithm.


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    Titel :

    Memory-Based Bees Algorithm with Lévy Flights for Multilevel Image Thresholding


    Weitere Titelangaben:

    Springer Ser.Advanced Manufacturing


    Beteiligte:
    Pham, Duc Truong (Herausgeber:in) / Hartono, Natalia (Herausgeber:in) / Shatnawi, Nahla (Autor:in) / Sahran, Shahnorbanun (Autor:in) / Nasrudin, Mohamad Faidzul (Autor:in)


    Erscheinungsdatum :

    2022-11-20


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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