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.

• Type: Conference
• Year: 2005
• Where: ICIC
• Authors: Yue Zhang, Xing-Jian He, Jun-Hua Han
• Keywords: ICIC 2005, Method Called Wavelet, Texture Images, Wavelet Package Transform