1-D DCT shape feature for Image Retrieval

Author

Seyedin, Seyed Alireza ; Fauzi, Mohammad Faizal Ahmad ; Anuar, Fatahiyah Mohd

Author_Institution

Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia

fYear

2009

fDate

18-19 Nov. 2009

Firstpage

431

Lastpage

436

Abstract

Content Based Image Retrieval (CBIR) is a difficult task. It needs different approaches and tools to get a set of images similar to a complex query image. Finding appropriate features is one of the important issues in this process. There are several tools to extract the appropriate features from the images. In this paper we explore the usage of 1-D Discrete Cosine Transform (DCT) as a tool for finding features of the boundary of objects in the query and database images. It is shown that the sensitivity of the DCT to rotation of objects can be reduced and the 1-D DCT of extended boundary signals can even give better results than the DFT in shape retrieval process.

Keywords

content-based retrieval; discrete cosine transforms; image retrieval; shape recognition; 1D DCT shape feature; DFT; complex query image; content based image retrieval; discrete cosine transform; shape retrieval process; Content based retrieval; Discrete Fourier transforms; Discrete cosine transforms; Feature extraction; Image databases; Image retrieval; Shape; Signal processing; Spatial databases; Trademarks;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-5560-7

Type

conf

DOI

10.1109/ICSIPA.2009.5478692

Filename

5478692