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Image Segmentation Using Clustering Techniques

Description

This project focuses on implementing image segmentation using clustering algorithms such as K-Means. The goal is to divide an image into distinct segments or regions.

This project was completed during the third year of my Bachelor's degree in Computer Science, for the subject Intelligent Systems.

Purpose

The project demonstrates how clustering techniques can be applied to segment images into meaningful regions, which is essential for image analysis and computer vision tasks.

Technologies Used

  • Python Programming Language
  • Scikit-learn for clustering algorithms (K-Means, GaussianMixture) and skfuzzy for uzzy C-Means

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