The algorithm aims to minimize intra-class variance and maximize inter-class variance, resulting in optimized threshold values for effective image segmentation.

Image segmentation involves identifying the distinct objects present in an image based on the properties such as intensity, color, texture etc. There are many image segmentation techniques namely, ...

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 ...

The threshold of each component group was determined using the multi-Otsu thresholding algorithm. The computed tomography image stacks of two shale samples were processed using this segmentation ...

With the development and wider application of meta-heuristic optimization algorithms, researchers increasingly apply them to threshold optimization of multi-level image segmentation. This paper ...

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 ...

Image segmentation involves identifying the distinct objects present in an image based on the properties such as intensity, color, texture etc. There are many image segmentation techniques namely, ...