Friday 29th of March 2024
 

Segmentation by fusion of histogram-based K-means


Dalimi Hanane, Afifi Mohamed, Amar Said, Bahich Mustapha, Barj El Mostafa and Bentahar Youness

The image processing is one of the most advanced domains of research. The image occupies a special place in many areas of daily life (manuscript, satellite images, advertising, industry, etc.). In this article we present a segmentation method based on EM, histogram and k-Means Clustering Algorithm Initialization. In a first time, we present the functioning of the used methods. Secondly, we present the segmentation algorithm and results.

Keywords: :segmentation, EM, Kmeans, Gaussian mixtures, histogram.

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ABOUT THE AUTHORS

Dalimi Hanane
PHD,Departement of physics, University Hassan II- Casablanca, faculty of sciences Ben M’sik, Casablanca, Morroco.

Afifi Mohamed
Professor ,Departement of physics, University Hassan II- Casablanca, faculty of sciences Ben M’sik, Casablanca, Morroco.

Amar Said
PHD,Departement of physics, University Hassan II- Casablanca, faculty of sciences Ben M’sik, Casablanca, Morroco.

Bahich Mustapha
Doctor

Barj El Mostafa
Professor ,Departement of physics, University Hassan II- Casablanca, faculty of sciences Ben M’sik, Casablanca, Morroco.

Bentahar Youness
PHD,Departement of physics, University Hassan II- Casablanca, faculty of sciences Ben M’sik, Casablanca, Morroco.


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