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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