A Statistical Model for Histogram Refinement

被引:0
|
作者
Bouguila, Nizar [1 ]
ElGuebaly, Walid [1 ]
机构
[1] Concordia Univ, CIISE, Montreal, PQ, Canada
来源
ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT I | 2008年 / 5163卷
关键词
DIRICHLET MIXTURE MODEL; UNSUPERVISED SELECTION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Color histograms have been widely used successfully in many computer vision and image processing applications. However, they do not include any spatial information. In this paper, we propose a statistical model to integrate both color and spatial information. Our model is based on finite multiple-Beta-Bernoulli mixtures. The results show that our model achieves good performance in a specific image classification problem (city vs. landscape).
引用
收藏
页码:837 / 846
页数:10
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