Entropy-based texture analysis and feature extraction of urban street trees in the spatial frequency domain

Haohao Zhao; Xuezhi Feng; Yan Chen

doi:10.1117/12.832444

30 October 2009 Entropy-based texture analysis and feature extraction of urban street trees in the spatial frequency domain

Haohao Zhao, Xuezhi Feng, Yan Chen

Author Affiliations +

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749513 (2009) https://doi.org/10.1117/12.832444
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Haohao Zhao, Xuezhi Feng, and Yan Chen "Entropy-based texture analysis and feature extraction of urban street trees in the spatial frequency domain", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749513 (30 October 2009); https://doi.org/10.1117/12.832444

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