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ICIC
2005
Springer

Texture Feature-Based Image Classification Using Wavelet Package Transform

9 years 9 months ago
Texture Feature-Based Image Classification Using Wavelet Package Transform
In this paper, a new method based on wavelet package transform is proposed for classification of texture images. It has been demonstrated that a large amount of texture information of texture images is located in middle-high frequency parts of image, a corresponding method called wavelet package transform, not only decomposing image from the low frequency parts, but also from the middle-high frequency parts, is presented to segment texture images into a few texture domains used for image classification. Some experimental results are obtained to indicate that our method for image classification is superior to the co-occurrence matrix technique obviously.
Yue Zhang, Xing-Jian He, Jun-Hua Han
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICIC
Authors Yue Zhang, Xing-Jian He, Jun-Hua Han
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