Novel Fitness Function Design for Image Segmentation Using Metaheuristic Optimization Algorithms

Implementation of a novel fitness function for image segmentation employing metaheuristic methods (GA, PSO, SFLA, ACO), featuring algorithmic enhancements and performance benchmarking

A hybrid motion detection approach combining frame differencing and background subtraction methods

This program represents an innovative method that integrates frame differencing with background subtraction techniques for enhanced motion detection