Image Retrieval using Integrated Features of Binary Wavelet Transform

被引：0
|
作者：
Agarwal, Megha [1 ]
Maheshwari, R. P. [1 ]
机构：
[1] IIT Roorkee, Dept Elect Engn, Roorkee, Uttar Pradesh, India
来源：
2ND INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-11) | 2011年 / 1414卷
关键词：
D O I：
10.1063/1.3669954
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper a new approach for image retrieval is proposed with the application of binary wavelet transform. This new approach facilitates the feature calculation with the integration of histogram and correlogram features extracted from binary wavelet subbands. Experiments are performed to evaluate and compare the performance of proposed method with the published literature. It is verified that average precision and average recall of proposed method (69.19%, 41.78%) is significantly improved compared to optimal quantized wavelet correlogram (OQWC) [6] (64.3%, 38.00%) and Gabor wavelet correlogram (GWC) [10] (64.1 %, 40.6 %). All the experiments are performed on Corel 1000 natural image database [20].
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页数：5
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