DocumentCode
1888106
Title
Improved Texture Retrieval Based on Nonsubsampled Contourlet
Author
Zhu, Zhengli ; Zhao, Chunxia ; Hou, Yingkun ; Ma, Changxia
Author_Institution
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
This paper presents an improved algorithm of image texture retrieval based on nonsubsampled contourlet transform and grey co-occurrence matrix of image. The new improved algorithm not only depends on coefficients of sub bands by nonsubsampled contourlet transform, but also depends on angular second moment, moment inertia, inverse difference moment, correlation of grey co-occurrence matrix of image. Experimental results demonstrate that the proposed algorithm performs much better than the previous methods. It achieves higher recall precision.
Keywords
image texture; inverse problems; matrix algebra; transforms; angular second moment; grey cooccurrence matrix correlation; image texture retrieval; inverse difference moment; moment inertia; nonsubsampled contourlet transform; Correlation; Feature extraction; Gabor filters; Image retrieval; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5677788
Filename
5677788
Link To Document