Files and links (1)
SubmittedOpen Access (License Unspecified), Open
Conference proceeding
Image registration using threefold orthogonal wavelet
Proceedings of SPIE, v 5207(1), pp 690-699
14 Nov 2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
An algorithm for multidimensional nonlinear registration is proposed. The deformation field between two elastic bodies is represented by a multi-resolution separable wavelet. Using a progressive approach that reduces algorithm complexity the registration parameters are recovered in a coarse to fine order. A custom wavelet that approximates threefold orthogonality is developed. The performance of the algorithm is evaluated by the alignment of sections from mouse brains. The wavelet registration algorithm demonstrated on average fourfold improvement in section alignment over linear alignment.
Metrics
Details
- Title
- Image registration using threefold orthogonal wavelet
- Creators
- Smadar Gefen - Drexel UniversityOleh Tretiak - Drexel UniversityJonathan Nissanov - Drexel University
- Publication Details
- Proceedings of SPIE, v 5207(1), pp 690-699
- Conference
- Wavelets: Applications in Signal and Image Processing X, 10th
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000188360200065
- Scopus ID
- 2-s2.0-1242263466
- Other Identifier
- 991019167877504721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Imaging Science & Photographic Technology
- Mathematics, Interdisciplinary Applications