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

页码：837 / 846

页数：10

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