Name
Abstract | ||
|---|---|---|
A template based matching method, adopted to the application of identifying individual proteins of a certain kind in volume images, is presented. Grey-level and gradient magnitude information is combined in the watershed algorithm to extract stable borders. These are used in a subsequent hierarchical matching algorithm. The matching algorithm uses a distance transform to search for local best fits between the edges of a template and edges in the underlying image. It is embedded in a resolution pyramid to decrease the risk of getting stuck in false local minima. This method makes it possible to find proteins attached to other proteins, or proteins appearing as split into parts in the images. It also decreases the amount of human interaction needed for identifying individual proteins of the searched kind. The method is demonstrated on a set of three volume images of the antibody IgG in solution. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11499145_27 | SCIA |
Keywords | Field | DocType |
local best fit,matching algorithm,subsequent hierarchical matching algorithm,gradient magnitude information,volume image,certain kind,antibody igg,false local minimum,watershed algorithm,individual protein,human interaction,local minima,distance transform | Template matching,Volume rendering,Pattern recognition,Mathematical morphology,Computer science,Algorithm,Image processing,Distance transform,Artificial intelligence,Local search (optimization),Pattern matching,Blossom algorithm | Conference |
Volume | ISSN | ISBN |
3540 | 0302-9743 | 3-540-26320-9 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ida-Maria Sintorn | 1 | 114 | 13.85 |
| Gunilla Borgefors | 2 | 1606 | 298.35 |