Content-Based Image Retrieval Using Gabor Filtering

Author

Barbu, Tudor

Author_Institution

Inst. of Comput. Sci., Romanian Acad., Iasi, Romania

fYear

2009

fDate

Aug. 31 2009-Sept. 4 2009

Firstpage

236

Lastpage

240

Abstract

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.

Keywords

Gabor filters; content-based retrieval; feature extraction; image retrieval; relevance feedback; 3D image feature vector; CBIR system; content-based digital image retrieval system; even-symmetric 2D Gabor filter; image feature extraction; query by example technique; relevance feedback; Application software; Content based retrieval; Digital images; Feature extraction; Feedback; Gabor filters; Image databases; Image retrieval; Information retrieval; Shape; Gabor filter; content-based image retrieval; feature extraction; image query; relevance feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on

Conference_Location

Linz

ISSN

1529-4188

Print_ISBN

978-0-7695-3763-4

Type

conf

DOI

10.1109/DEXA.2009.61

Filename

5337204