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Multi-Level Thresholding Image Segmentation Based on Improved Slime Mould Algorithm and Symmetric Cross-Entropy

Yuanyuan Jiang1,2, Dong Zhang1, Wenchang Zhu1

  • 1School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232000, China.

Entropy (Basel, Switzerland)
|January 21, 2023
PubMed
Summary

This study introduces an improved slime mould algorithm (ISMA) for multi-level thresholding image segmentation, enhancing accuracy and speed. The novel approach effectively segments images, outperforming existing methods.

Keywords:
meta-heuristicsmulti-level thresholding image segmentationslime mould algorithmsymmetric cross-entropy

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