Name
Abstract | ||
|---|---|---|
This paper presents a pattern search method for transformation function search in automatic image registration. In this search method, affine transformation parameters are represented as a 5-parameter vector and the search proceeds toward the direction resulting in higher similarity values between the reference and sensed images. Experiments show that this method can successfully find an optimal affine transformation function for edge images generated by computing the local standard deviation of the images. In addition, a series of overlapped aerial images of the Mississippi Delta area are successfully registered into a large reference image automatically by employing this search method. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11428831_82 | International Conference on Computational Science (1) |
Keywords | Field | DocType |
pattern search method,overlapped aerial image,search proceed,automatic image registration,affine transformation parameter,transformation function search,optimal affine transformation function,edge image,search method,large reference image,image registration,affine transformation,standard deviation | Affine transformation,Computer vision,Similitude,Mathematical optimization,Transformation (function),Search algorithm,Computer science,Image retrieval,Artificial intelligence,Standard deviation,Image registration,Pattern search | Conference |
Volume | ISSN | ISBN |
3514 | 0302-9743 | 3-540-26032-3 |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Zhou | 1 | 8 | 2.82 |
| Benjamin Ray Seyfarth | 2 | 5 | 1.29 |