Color-Based Segmentation with CPSO

An innovative approach to image segmentation based on optimizing color thresholds using Continuous Particle Swarm Optimization (CPSO).

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Project Information

  • Category: Computer Vision, Optimization Model
  • Type: Bachelor's Thesis
  • Year: 2024
  • Repository: GitHub

Color-Based Segmentation with CPSO

This project applies Continuous Particle Swarm Optimization (CPSO) for image segmentation by converting images from RGB to LAB color space. The goal is to optimize color thresholds to achieve more accurate and robust segmentation compared to the traditional PSO method.

The system has been validated on real image datasets, showing that the swarm intelligence-based approach improves performance in terms of accuracy and stability.

Technologies used: Matlab.