Texture analysis and classification with quincunx and tree-structured wavelet transform

Yandong Zhang; Zhensen Wu; Zhongzhi Zhang

doi:10.1117/12.467818

11 June 2003 Texture analysis and classification with quincunx and tree-structured wavelet transform

Yandong Zhang, Zhensen Wu, Zhongzhi Zhang

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467818
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

While using conventional two-dimensional wavelet transform for texture analysis and classification the image decomposition is carried out with separable filtering along the abscissa and ordinate using the same pyramidal algorithm as in the one-dimensional case. This process is simple and can be implemented easily in practical applications, however, it is rotation-sensitive and some information may be lost since the decomposition is performed only in low frequency channels. In this paper the quincunx transform using nonseparable sampling and filters is substituted for conventional dyadic transform. Since the energy of natural textures is mainly concentrated in the mid-frequencies, this transform can preserve more of the original signal energy and can provide more reliable description of the texture. At the same time, the tree-structured wavelet transform or wavelet packets is applied instead of using the pyramid-structured one. With this transform, we are able to zoom into any desired frequency channels for further decomposition and a series of subimages with the largest energy can be obtained for an image. In comparison with conventional wavelet transform, it can be concluded that this transform can still reach higher classification accuracy especially for the characterization of noisy data.

Citation Download Citation

Yandong Zhang, Zhensen Wu, and Zhongzhi Zhang "Texture analysis and classification with quincunx and tree-structured wavelet transform", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.467818

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Wavelet transforms

Image classification

Linear filtering

Analytical research

Wavelets

Databases

Signal to noise ratio

Show All Keywords

Keywords/Phrases

Search In:

Publication Years