Name
Abstract | ||
|---|---|---|
This paper addresses a particular problem in the area of matching dissimilar images, which can be formalized to image transform and functional minimization process. Based on the additive measuring model for sequential X-ray images with grey level deviation and the finite element technique, a class of grey level correction function and a robust matching criterion are developed, and an adaptive hierarchical searching algorithm is studied. The simplified algorithm features parallelism in certain extent.Experimental results in medical imaging application are given. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/SPDP.1993.395459 | Symposium on Parallel and Distributed Processing |
Keywords | Field | DocType |
grey level correction function,functional minimization process,algorithm features parallelism,medical imaging application,finite element technique,dissimilar image,certain extent,grey level deviation,robust matching criterion,pattern recognition,finite element methods,parallel processing,pattern matching,biomedical imaging,artificial intelligence,image analysis,parallel algorithms,finite element analysis,image processing | Search algorithm,Pattern recognition,Medical imaging,Parallel algorithm,Computer science,Image processing,Algorithm,Finite element method,Finite element technique,Minification,Artificial intelligence,Pattern matching | Conference |
ISBN | Citations | PageRank |
0-8186-4222-X | 0 | 0.34 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianxu Zhang | 1 | 206 | 23.18 |
| Weixue Lu | 2 | 0 | 0.34 |