Image background reconstruction by Gaussian mixture based model reinforced with temporal-spatial confidence
نویسندگان
چکیده
منابع مشابه
Image Segmentation using Gaussian Mixture Model
Abstract: Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we used Gaussian mixture model to the pixels of an image. The parameters of the model were estimated by EM-algorithm. In addition pixel labeling corresponded to each pixel of true image was made by Bayes rule. In fact,...
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Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the model have estimated by EM-algorithm. In addition pixel labeling corresponded to each pixel of true image is made by Bayes rule. In fact, ...
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ژورنال
عنوان ژورنال: Journal of Algorithms & Computational Technology
سال: 2016
ISSN: 1748-3026,1748-3026
DOI: 10.1177/1748301815618302