GitHub / JayKareliya-code / GMM-EM-model
This project demonstrates the segmentation of images using a Gaussian Mixture Model (GMM) and the Expectation-Maximization (EM) algorithm. The project applies these advanced machine learning techniques to segment both grayscale and color images, providing a comprehensive approach to image segmentation.
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Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 577 KB
Dependencies parsed at: Pending
Created at: 9 months ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 9 months ago
Topics: expectation-maximization, gaussian-mixture-models, image-processing, loglikelihood, machine-learning