Abstract
Image shape restoration based on mathematical transformation is a successful approach to nonlinear distortions in computer vision, robot vision and pattern recognition. The key of this process is to find the distortion function and its inverse function. Usually, the distortion function is unknown or unclear. Even in the case of that when the function is known, it remains difficult to compute or estimate the parameters necessary for the restoration. To overcome this problem, in this paper, boundary functions have been used to approximate the exact distortion function. In this manner, the boundary functions are calculated using B-spline curve interpolation which is coincided with the necessary condition of major elements that constitute a Coons transformation. The performance of the proposed method to nonlinear distorted image has been demonstrated in experiments with interesting results.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 208-210 |
| Number of pages | 3 |
| ISBN (Electronic) | 0818662751 |
| DOIs | |
| Publication status | Published - 1994 |
| Externally published | Yes |
| Event | 12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994 - Jerusalem, Israel Duration: 1994 Oct 9 → 1994 Oct 13 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
|---|---|
| Volume | 3 |
| ISSN (Print) | 1051-4651 |
Conference
| Conference | 12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994 |
|---|---|
| Country/Territory | Israel |
| City | Jerusalem |
| Period | 94/10/9 → 94/10/13 |
Bibliographical note
Publisher Copyright:© 1994 IEEE.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition