Paper
22 October 1993 Wavelet deformable model for shape description and multiscale elastic matching
Chun-Hsiung Chuang, C.-C. Jay Kuo
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.158012
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
Abstract
In this research, we propose a hierarchical wavelet curve descriptor which decomposes a planar curve into components of different scales so that the coarsest scale components carry the global approximation information while other finer scale components contain the local detailed information. Furthermore, we interpret the wavelet coefficients as random variables, and use the deformable stochastic wavelet descriptor to model a group of shapes which have the same topological structure but may differ slightly due to local deformation. We show that this descriptor can be conveniently used in multiscale elastic matching. Local deformation can be more effectively represented by the wavelet descriptor than the conventional Fourier descriptor, since wavelet bases are well localized in both the spatial and frequency domains. Experimental results are given to illustrate the performance of the proposed wavelet descriptor, where we use a model-based approach to extract the contour of an object from noisy images.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chun-Hsiung Chuang and C.-C. Jay Kuo "Wavelet deformable model for shape description and multiscale elastic matching", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.158012
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelets

Wavelet transforms

Image processing

Signal to noise ratio

Computed tomography

Gaussian filters

Heart

Back to Top