Name
Abstract | ||
|---|---|---|
A modification of the hierarchical chamfer matching algorithm (HCMA) with the effect that no binarisation of the edge information is performed is investigated HCMA is a template matching algorithm used in many applications A distance transform (DT) from binarised edges in the search image is used to guide the template to good positions Local minima of a function using the distance values hit by the template correspond to potential matches We propose to use distance weighted propagation of gradient magnitude information as a cost image instead of a DT from the edges By this we keep as much information as possible until later in the matching process and, hence, do not risk to discard good matches in the edge detection and binarisation process. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11907350_26 | DGCI |
Keywords | Field | DocType |
edge information,edge detection,hierarchical chamfer,gradient strength,gradient magnitude information,binarised edge,cost image,binarisation process,template matching algorithm,matching process,distance weighted propagation,good match,distance transform,template matching,local minima | Template matching,Computer science,Edge detection,Image processing,Image retrieval,Distance transform,Artificial intelligence,Discrete geometry,Computer vision,Discrete mathematics,Pattern recognition,Maxima and minima,Pattern matching | Conference |
Volume | ISSN | ISBN |
4245 | 0302-9743 | 3-540-47651-2 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stina Svensson | 1 | 184 | 18.45 |
| Ida-Maria Sintorn | 2 | 114 | 13.85 |