Hierarchical texture segmentation with wavelet packet transform and adaptive smoothing

Yu-Chuan Lin; Tianhorng Chang; C.-C. Jay Kuo

doi:10.1117/12.185951

16 September 1994 Hierarchical texture segmentation with wavelet packet transform and adaptive smoothing

Yu-Chuan Lin, Tianhorng Chang, C.-C. Jay Kuo

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185951
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

A new texture segmentation algorithm based on the wavelet transform and a hierarchical fuzzy processing technique is proposed in this research. We perform a tree-structured wavelet transform to decompose a textured image adaptively into subimages corresponding to different frequency channels, and assign a fuzzy membership function to every spatial location by examining the averaged energy value of a local window centered at that point. A procedure to determine the proper smoothing window size is described. The fuzzy membership function in different subimages is then integrated hierarchically to lead to the final segmentation result. Numerical experiments are given to demonstrate the performance of our proposed algorithm.

Citation Download Citation

Yu-Chuan Lin, Tianhorng Chang, and C.-C. Jay Kuo "Hierarchical texture segmentation with wavelet packet transform and adaptive smoothing", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185951

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