Content-based Image Retrieval using Gabor Filtering

被引：9
|
作者：
Barbu, Tudor [1 ]
机构：
[1] Romanian Acad, Inst Comp Sci, Iasi Branch, Iasi, Romania
来源：
PROCEEDINGS OF THE 20TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATION | 2009年
关键词：
content-based image retrieval; Gabor filter; feature extraction; image query; relevance feedback;
D O I：
10.1109/DEXA.2009.61
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper provides a content-based digital image retrieval system. Our CBIR system uses the query by example technique and the relevance feedback. A Gabor filter based image feature extraction is proposed first. Thus, 3D image feature vectors using even-symmetric 2D Gabor filters are computed for the images of a large collection and for the input image. At each step an input image is selected, from the output set obtained in the previous step, and the most similar images from the collection are retrieved.
引用
收藏
页码：236 / 240
页数：5
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