| Electrical & Electronic Engineering |
|
|
|
|
| A novel texture clustering method based on shift invariant DWT and locality preserving projection |
| Rui XING, San-yuan ZHANG, Le-qing ZHU |
| School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China |
|
|
|
Abstract We propose a novel texture clustering method. A classical type of (approximate) shift invariant discrete wavelet transform (DWT), dual tree DWT, is used to decompose texture images. Multiple signatures are generated from the obtained high-frequency bands. A locality preserving approach is applied subsequently to project data from high-dimensional space to low-dimensional space. Shift invariant DWT can represent image texture information efficiently in combination with a histogram signature, and the local geometrical structure of the dataset is preserved well during clustering. Experimental results show that the proposed method remarkably outperforms traditional ones.
|
|
Received: 02 March 2008
|
|
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
