A novel approach on image’s texture analysis based on integrated features

Haihui Wang; Jun Wang; Jian Zhang; Wei Wang

doi:10.1117/12.654929

3 November 2005 A novel approach on image's texture analysis based on integrated features

Haihui Wang, Jun Wang, Jian Zhang, Wei Wang

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60431M (2005) https://doi.org/10.1117/12.654929
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Haihui Wang, Jun Wang, Jian Zhang, and Wei Wang "A novel approach on image's texture analysis based on integrated features", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431M (3 November 2005); https://doi.org/10.1117/12.654929

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