A New Color Feature Extraction Method Based on QuadHistogram

被引：13

作者：

Alamdar, Fatemeh ^{[1
]}

Keyvanpour, MohammadReza ^{[1
]}

机构：

[1] Alzahra Univ, Dept Comp, Tehran, Iran

来源：

2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT A | 2011年 / 10卷

关键词：

feature; quadtree decomposition; color histogram; image retrieval; IMAGE RETRIEVAL; COMPRESSION;

D O I：

10.1016/j.proenv.2011.09.126

中图分类号：

X [环境科学、安全科学];

学科分类号：

083001 [环境科学];

摘要：

One of the important requirements in image retrieval, indexing, classification, clustering and etc. is extracting efficient features from images. The color feature is one of the most widely used visual features. Use of color histogram is the most common way for representing color feature. In this paper color features extraction based on QuadHistogram is presented. The quadtree decomposition is applied on the images and homogenous blocks with different size are specified. Color histogram and complexity of blocks of the same size are extracted. The image retrieval results in compare to global color histogram show the acceptable efficiency of this approach. (c) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.

引用

页码：777 / 783

页数：7

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