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Multilevel Image Thresholding Based on Renyi Entropy Using Cuckoo Search Algorithm

Communications in Computer and Information Science (2020) 1205 CCIS 405-413
DOI: 10.1007/978-981-15-5577-0_31
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Abstract

In this paper, optimal thresholds for multi-level thresholding in image segmentation are gained by maximizing the Renyi entropy using cuckoo search algorithm. The proposed method is tested on standard set of images. Besides, the control parameter of the Renyi entropy is discussed. Experiment results show that the effect of segmented image is not significantly affected by varying the parameter value when the thresholds to 2 then to 5.

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Liang, Z., & Wang, Y. (2020). Multilevel Image Thresholding Based on Renyi Entropy Using Cuckoo Search Algorithm. In Communications in Computer and Information Science (Vol. 1205 CCIS, pp. 405–413). Springer. https://doi.org/10.1007/978-981-15-5577-0_31

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