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On Methods for Merging Mixture Model Components Suitable for Unsupervised Image Segmentation Tasks

Unsupervised image segmentation is one of the most important and fundamental tasks in many computer vision systems. Mixture model is a compelling framework for unsupervised image segmentation. A segmented image is obtained by clustering the pixel color values of the image with an estimated mixture m...

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Principais autores: Branislav Panić, Marko Nagode, Jernej Klemenc, Simon Oman
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-11-01
coleção:Mathematics
Assuntos:
mixture models
parameter estimation
clustering
unsupervised image segmentation
Acesso em linha:https://www.mdpi.com/2227-7390/10/22/4301
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