Share Email Print
cover

Proceedings Paper

A novel approach on image's texture analysis based on integrated features
Author(s): Haihui Wang; Jun Wang; Jian Zhang; Wei Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, we use the integrated features of the multispectral image to classify image's texture, namely, the two types parameters are estimated as the texture features: the Hurst parameter and the unit displacement incremental power. The efficiency of the features is evaluated by comparing several other features with them, including the wavelet features. We chose a remote sensing image to make experiment. In this experiment, we see the classification results when the image is partitioned into fewer texture classes and the homogeneity of each class is a little weak. The results show that the effect of the new method in classification is satisfying. It implies that the new features characterize the natural processes successfully and give more texture information.

Paper Details

Date Published: 4 November 2005
PDF: 7 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431M (4 November 2005); doi: 10.1117/12.654929
Show Author Affiliations
Haihui Wang, Wuhan Institute of Chemical Technology (China)
Jun Wang, Wuhan Institute of Chemical Technology (China)
Jian Zhang, Wuhan Institute of Chemical Technology (China)
Wei Wang, Wuhan Institute of Chemical Technology (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

© SPIE. Terms of Use
Back to Top