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Pulse coupled neural network based on Harris hawks optimization algorithm for image segmentation

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Abstract

Medical image segmentation is a hotspot in the field of image segmentation, and there are many segmentation methods. As a method of image segmentation, pulse coupled neural network (PCNN) has excellent segmentation effect. Of course, it also reduces the efficiency and effect of segmentation because of the complexity of parameter setting and the need for manual setting. This paper presents a method of searching simplified PCNN parameters by using Harris Hawks optimization (HHO) algorithm. For one thing the number of parameters of PCNN is reduced without affecting the segmentation effect, for another the corresponding parameters of PCNN are searched quickly and accurately by intelligent optimization algorithm. Then, image entropy (H) and mutual information entropy (MI) are introduced as fitness functions. The performance of HHO-PCNN is compared with WOA-PCNN, SCA-PCNN, SSA-PCNN, PSO-PCNN, GWO-PCNN, MVO-PCNN, Otsu and K-means by performance indicators (UM, CM, Precision, Recall, and Dice). The experimental results verify the superiority of this method in image segmentation.

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Acknowledgments

The authors would like to thank the anonymous reviewers for their constructive comments and suggestions.

Funding

This work was supported by the Fundamental Research Funds for the Central Universities(2572019BF04), the Northeast Forestry University Horizontal Project (43217002, 43217005, 43219002).

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, 150040, China

    Heming Jia, Xiaoxu Peng, Lifei Kang, Yao Li, Zichao Jiang & Kangjian Sun

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  1. Heming Jia
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  2. Xiaoxu Peng
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  3. Lifei Kang
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  4. Yao Li
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  5. Zichao Jiang
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Contributions

H.J. contributed to the idea of this paper; X.P., L.K.,Y. L. and Z. J. performed the experiments; L.K. and K. S. wrote the paper; H.J. contributed to the revision of this paper; X.P. did the mapping; H.J. provided fund support.

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Correspondence to Heming Jia.

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Jia, H., Peng, X., Kang, L. et al. Pulse coupled neural network based on Harris hawks optimization algorithm for image segmentation. Multimed Tools Appl 79, 28369–28392 (2020). https://doi.org/10.1007/s11042-020-09228-3

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  • DOI: https://doi.org/10.1007/s11042-020-09228-3

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