Name
Title | ||
|---|---|---|
A Gaussian mixture model for edge-enhanced images with application to sequential edge detection and linking |
Abstract | ||
|---|---|---|
In this paper we present a new stochastic model for pixels in an edge-enhanced image. The model is robust because it allows for the possibilities of false and mul- tiple edges, and may be efficiently estimated using a expectation-maximization technique with a minimum description length metric. The direct applicability of the model for the sequential edge linking algorithm is investigated. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICIP.1998.723501 | Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference |
Keywords | Field | DocType |
Gaussian processes,edge detection,image enhancement,optimisation,Gaussian mixture model,edge-enhanced image,edge-enhanced images,expectation-maximization technique,false edges,minimum description length metric,multiple edges,pixels,robust model,sequential edge detection,sequential edge linking algorithm,stochastic model | Canny edge detector,Deriche edge detector,Pattern recognition,Edge detection,Computer science,Minimum description length,Artificial intelligence,Pixel,Gaussian process,Multiple edges,Mixture model | Conference |
Volume | ISBN | Citations |
2 | 0-8186-8821-1 | 2 |
PageRank | References | Authors |
0.44 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gregory W. Cook | 1 | 37 | 5.46 |
| Edward J Delp | 2 | 1023 | 127.27 |