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Received:December 19, 2011 Revised:February 22, 2012
Received:December 19, 2011 Revised:February 22, 2012
中文摘要: 针对基于内容的商品图像检索, 提出了以颜色和区域形状为特征的检索技术方案. 以非等间隔量化方法提取颜色直方图, 同时设置显著水平阈值提取视觉主色, 从而获取颜色特征. 利用二维函数矩构造出的Hu矩特征值, 并对矩特征值进行权重设置, 提取了比较符合人类视觉的区域形状特征. 两种特征组合检索, 实现了商品图像的较高相似性度量的匹配.
Abstract:For product image retrieval, the method of retrieval based on color feature and shape feature is proposed. To obtain color featrue, Non-interval quantitative measure is used to extract color histogram, and setting a value number is to find the primary color. Implementing the algorithm of two-demensional function moment that is weighted to get the shape feature. As these two features are combined in retrieval, the results of math in product image achieve a highly level.
keywords: image retrieval color feature shape feature color histogram two-demensional function moment similarity measure
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唐玉昆,山岚.颜色和形状特征的商品图像检索技术的应用.计算机系统应用,2012,21(9):152-155
TANG Yu-Kun,SHAN Lan.Application of a Product Image Retrieval Based on Color and Shape Feature.COMPUTER SYSTEMS APPLICATIONS,2012,21(9):152-155
唐玉昆,山岚.颜色和形状特征的商品图像检索技术的应用.计算机系统应用,2012,21(9):152-155
TANG Yu-Kun,SHAN Lan.Application of a Product Image Retrieval Based on Color and Shape Feature.COMPUTER SYSTEMS APPLICATIONS,2012,21(9):152-155