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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Zhang, Y., He, X. J., & Han, J. H. (2005). Texture feature-based image classification using wavelet package transform. In Lecture Notes in Computer Science (Vol. 3644, pp. 165–173). Springer Verlag. https://doi.org/10.1007/11538059_18
Mendeley helps you to discover research relevant for your work.