MATLAB Implementation of Firefly Algorithm for Optimal Three-Threshold Image Segmentation

This package provides directly executable MATLAB source code and function files implementing the Firefly Algorithm to determine optimal triple thresholds for image segmentation. The algorithm is a nature-inspired optimization technique modeled after firefly flashing behavior, designed to efficiently search for optimal segmentation thresholds through mathematical simulation of firefly attraction mechanisms. Key implementation features include: - Population initialization with random threshold candidates - Light intensity calculation based on fitness functions evaluating segmentation quality - Distance-based attraction movement between fireflies using Euclidean distance metrics - Adaptive parameter control for luminosity absorption and step size - Iterative optimization process converging to optimal triple-threshold combinations The algorithm automatically locates optimal segmentation points in images by simulating how fireflies navigate toward light sources, eliminating need for manual threshold adjustment. The code includes functions for objective function evaluation, position updating, and result visualization, providing improved image processing efficiency and accuracy while significantly reducing time and effort compared to manual methods.