Wavelets for multiresolution image matching

Su Zhang; Hanfeng Chen; Yuncai Liu; Peng-Fei Shi

doi:10.1117/12.441524

20 September 2001 Wavelets for multiresolution image matching

Su Zhang, Hanfeng Chen, Yuncai Liu, Peng-Fei Shi

Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441524
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

This paper discussed the approaches of wavelets for multiresulition in image matching. Using the hierarchical structure of wavelet transform, the match process is from the coarsest level to the finest one, refining and condensing the field of matching. Two types of special wavelet transform are explored and compared respectively. For vector-valued wavelets, an improved model of multiresolution matching is constituted to match the successive images in the case of exiting only rotation and translation between images. For complex-valued wavelets, a modified algorithm is presented to match image which has project transform between adjacent frames. Experiments for two groups of image sequences show that vector-valued wavelets and complex-valued wavelets used for image matching are available.

Citation Download Citation

Su Zhang, Hanfeng Chen, Yuncai Liu, and Peng-Fei Shi "Wavelets for multiresolution image matching", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441524

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