Non-Negative Matrix Factorization; with Application in Image Processing

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Non-Negative Matrix Factorization; with Application in Image Processing

This project discusses the implementation and applications of NMF in image processing. It explores the use of NMF in image segmentation, comparing its effectiveness with other methods. It includes a detailed discussion on the mathematical background of NMF and its algorithms like Multiplicative update rules. The project involves both library and custom implementations of NMF, showcasing its utility in image compression and segmentation

Keywords: machine learning,python,mathematical modeling
Tools: machine learning,python,mathematical modeling
Department: Department of Mathematics
Project Poster
Blog
Project Team Members
Name Email CV
Mahnoor amjad mahnoor2020@namal.edu.pk
Muhammad Awais mawais2020@namal.edu.pk