Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

SIFT Feature Extraction Algorithm for Image in DCT Domain

Authors
Zhen Wu, Zhe Xu, Rui-nian Zhang, Shao-Mei Li
Corresponding Author
Zhen Wu
Available Online February 2013.
DOI
10.2991/isccca.2013.64How to use a DOI?
Keywords
Image feature extraction, DCT coefficients reduced matrix, DCT domain reduced image, SIFT algorithm
Abstract

Image feature extraction is an important technology in image matching and retrieval. For the problem of high computational complexity of spatial domain image feature extraction using the SIFT algorithm, and by studying the relationship between DCT coefficient matrix and image, the paper designed the DCT coefficients reduced matrix of image and proposed the algorithm of SIFT feature extraction in DCT domain reduced image. Experiments showed that with the low loss of accuracy in image matching and retrieval, the method proposed can significantly improve the computational efficiency of feature extraction.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
10.2991/isccca.2013.64
ISSN
1951-6851
DOI
10.2991/isccca.2013.64How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhen Wu
AU  - Zhe Xu
AU  - Rui-nian Zhang
AU  - Shao-Mei Li
PY  - 2013/02
DA  - 2013/02
TI  - SIFT Feature Extraction Algorithm for Image in DCT Domain
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 261
EP  - 264
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.64
DO  - 10.2991/isccca.2013.64
ID  - Wu2013/02
ER  -