Name
Abstract | ||
|---|---|---|
We propose and illustrate the application of wavelet descriptors for the quantitative description of shapes. Fourier descriptors are known to be useful for describing shapes based on their boundaries. As these basically operate at one given scale or resolution, their application leads to loss of information of salient features of a shape contained at other scales. Due to their inherent multiscale properties wavelet descriptors are potentially suitable for shape discrimination in such situations. The basic techniques of applying wavelet descriptors in practical applications are given |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICASSP.1995.480064 | Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference |
Keywords | Field | DocType |
image processing,parameter estimation,wavelet transforms,Fourier descriptors,multiscale properties,parametrical description,plane curves,shape description,shape discrimination,wavelet descriptors | Harmonic wavelet transform,Pattern recognition,Computer science,Image processing,Fourier transform,Artificial intelligence,Plane curve,Discrete wavelet transform,Wavelet transform,Wavelet,Salient | Conference |
Volume | ISSN | ISBN |
4 | 1520-6149 | 0-7803-2431-5 |
Citations | PageRank | References |
2 | 0.39 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Pfeiffer | 1 | 2 | 0.39 |
| Madhukar Pandit | 2 | 2 | 0.39 |