Texture Segmentation Using Laplace Distribution-Based Wavelet-Domain Hidden Markov Tree Models

Multiresolution models such as the wavelet-domain hidden Markov tree (HMT) model provide a powerful approach for image modeling and processing because it captures the key features of the wavelet coefficients of real-world data. It is observed that the Laplace distribution is peakier in the center an...

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Detalhes bibliográficos

Principais autores:	Yulong Qiao, Ganchao Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2016-11-01
Colecção:	Entropy
Assuntos:	wavelet-domain hidden Markov tree Laplace distribution texture segmentation dynamic texture
Acesso em linha:	http://www.mdpi.com/1099-4300/18/11/384
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