Share Email Print
cover

Proceedings Paper

Entropy-based texture analysis and feature extraction of urban street trees in the spatial frequency domain
Author(s): Haohao Zhao; Xuezhi Feng; Yan Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A method of texture analysis and feature extraction of urban street trees in spatial frequency domain is described in this paper. The QUICKBIRD image of Nanjing acquired in July, 2007 was considered. The image was first transformed by 2-D discrete Fourier transform. Then the energy of the component in spatial frequency was calculated. Entropy in a region of 7x7 window was considered to evaluate the energy distribution of the image. A Gabor filter was designed to extract texture features of street trees by using the radius and angel information of the entropy image. The precision of the segmentation result is 79.96%. Odd Gabor filter was designed to detect the edge of street trees, and the experimental result is excellent.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749513 (30 October 2009); doi: 10.1117/12.832444
Show Author Affiliations
Haohao Zhao, Nanjing Univ. (China)
Nanjing Univ. of Information Science and Technology (China)
Xuezhi Feng, Nanjing Univ. (China)
Yan Chen, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

© SPIE. Terms of Use
Back to Top