Color Image Retrieval Using M-Band Wavelet Transform Based Color-Texture Feature

M. Kundu, Priyank Bagrecha
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引用次数: 11

Abstract

Feature Extraction algorithm is a very important component of any retrieval scheme. We propose M-band Wavelet Transform based feature extraction algorithm in this paper. The MxM sub-bands are used as primitive features, over which energies computed in a neighborhood are taken as the features for each pixel of the image. These features are clustered using FCM to obtain image signature for similarity matching using the Earth Mover's Distance. The results obtained were compared with MPEG-7 content descriptor based system and found to be superior.
基于m波段小波变换颜色纹理特征的彩色图像检索
特征提取算法是任何检索方案的重要组成部分。本文提出了基于m波段小波变换的特征提取算法。将MxM子带作为原始特征,将邻域计算的能量作为图像每个像素的特征。使用FCM对这些特征进行聚类,获得图像签名,并使用土动器距离进行相似性匹配。将所得结果与基于MPEG-7内容描述符的系统进行了比较,发现其优越性。
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