An efficient Harris hawks-inspired image segmentation method
We provided the Minimum Cross Entropy Thresholding - Harris Hawks Optimization (MCET-HHO) for multilevel thresholding segmentation. This method has been tested on an image reference set of the literature, the Berkeley segmentation database, and digital mammography medical images.
If you use this code for your research, please cite our paper.
@article{rodriguez2020efficient,
title={An Efficient Harris Hawks-inspired Image Segmentation Method},
author={Rodr{\'\i}guez-Esparza, Erick and Zanella-Calzada, Laura A and Oliva, Diego and Heidari, Ali Asghar and Zaldivar, Daniel and P{\'e}rez-Cisneros, Marco and Foong, Loke Kok},
journal={Expert Systems with Applications},
pages={113428},
year={2020},
publisher={Elsevier}
}