by González, A I, Graña, M, Ruiz-Cabello, J, D’Anjou, A and Albizuri, F X
Abstract:
In this paper, we propose the filtering of images based on the codebooks obtained from an evolution-based adaptation strategy for vector quantization (VQ). This evolution-based VQ Bayesian filter (VQBF) is applied to noise removal and segmentation of a high-resolution …
Reference:
Experimental results of an evolution-based adaptation strategy for VQ image filtering (González, A I, Graña, M, Ruiz-Cabello, J, D’Anjou, A and Albizuri, F X), In Information Sciences, volume 133, 2001.
Bibtex Entry:
@article{Gonzalez:2001jm,
author = {Gonz{'a}lez, A I and Gra{~n}a, M and Ruiz-Cabello, J and D'Anjou, A and Albizuri, F X},
title = {{Experimental results of an evolution-based adaptation strategy for VQ image filtering}},
journal = {Information Sciences},
year = {2001},
volume = {133},
number = {3-4},
pages = {249--266},
month = apr,
doi = {10.1016/S0020-0255(01)00088-3},
language = {English},
rating = {0},
date-added = {2015-03-30T15:07:26GMT},
date-modified = {2020-07-09T13:27:52GMT},
abstract = {In this paper, we propose the filtering of images based on the codebooks obtained from an evolution-based adaptation strategy for vector quantization (VQ). This evolution-based VQ Bayesian filter (VQBF) is applied to noise removal and segmentation of a high-resolution ... 
},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0020025501000883},
uri = {url{papers3://publication/doi/10.1016/S0020-0255(01)00088-3}}
}