project is based on implementing a custom multilevel thresholding algorithm inspired by the research paper titled "A New Criterion for Automatic Multilevel Thresholding" by Jui-Cheng Yen, Fu-Juay ...

In this paper, a new intelligence algorithm, particle swarm opti-mization (PSO), is presented for multilevel thresholding in image segmentation. This algorithm is used to maximize the Kapur’s and Otsu ...

Image thresholding segmentation based on entropy is classical method. Time cost of image thresholding segmentation method based on maximum entropy and enumeration is unacceptable, so that the genetic ...

A practical implementation of classic image segmentation algorithms in Python using OpenCV and NumPy. This repository provides clear, commented code for Otsu's thresholding and a custom iterative ...

Abstract: Several model-based algorithms for threshold selection are presented, concentrating on the two-population univariate case in which an image contains an object and background. It is shown how ...

1 Introduction. Due to the advantages of fast convergence rate and high accuracy of meta- heuristic optimization algorithms, many researchers increasingly apply them to real-world problems, to improve ...

Pengfei Zhang 12, Shuangfang Lu 1, Junqian Li 1, Ping Zhang 12, Liujuan Xie 12, Haitao Xue 1, Jie Zhang 12, Multi-component segmentation of X-ray computed tomography (CT) image using multi-Otsu ...