Image retrieval based on multiple features using wavelet

Tian Yumin, Mei Lixia
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引用次数: 31

Abstract

An algorithm of image retrieval using both color feature and texture feature is proposed in this paper. Circular region energy in low frequency band of wavelet transform of an image is used as color feature of the image and the synthesize energy in high frequency bands of multi-scale wavelet transforms is used as texture feature. A method using the linear combination of several single features is applied for image retrieval based multiple features, in which the weight of every feature is determined self-adaptively, moreover, relevance feedback technique is used to adjust the weights in order that the retrieval results accord with the user's retrieval goal gradually.
基于多特征的小波图像检索
提出了一种结合颜色特征和纹理特征的图像检索算法。将图像小波变换的低频段圆形区域能量作为图像的颜色特征,将多尺度小波变换的高频段合成能量作为图像的纹理特征。在基于多特征的图像检索中,采用多个单一特征线性组合的方法,自适应地确定每个特征的权重,并利用相关反馈技术对权重进行调整,使检索结果逐渐符合用户的检索目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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