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
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;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5677788