Abstract
An image-matching algorithm, called the dynamic space-warping algorithm (DSWA), is presented. It is based on both local-distance diagrams and dynamic programming. The DSWA can solve space-warping problems (e.g., shrinking, enlarging, rotation, and distortion) with good performance by embedding controllable flexibility (or warping). The concept of flexibility can be explained using local-distance diagrams. With flexibility, the local-distance diagram between two two-dimensional images is four dimensional. Based on compression and expansion, DSWA generates a minimum distance from the four-dimensional local-distance diagram. Experimental results show that the DSWA is very reliable.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2181-2184 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 4 |
| State | Published - 1990 |
| Event | 1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA Duration: Apr 3 1990 → Apr 6 1990 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering