Name
Abstract | ||
|---|---|---|
A number of methods are presented for finding clusters in collinear collections of line segments. The methods are of two kinds — merging methods and splitting methods. Both make use of an evaluation function, and several alternative functions are illustrated. The methods are evaluated using randomly generated clusters on backgrounds containing varying amounts of noise. |
Year | DOI | Venue |
|---|---|---|
1982 | 10.1016/0031-3203(82)90003-6 | Pattern Recognition |
Keywords | Field | DocType |
Image processing,Segmentation,Line segments,Collinearity,Clustering | Line segment,Cluster (physics),Random variable,Pattern recognition,Image processing,Evaluation function,White noise,Artificial intelligence,Cluster analysis,Gaussian noise,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 2 | 0031-3203 |
Citations | PageRank | References |
10 | 2.38 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ann Scher | 1 | 53 | 20.15 |
| Michael Shneier | 2 | 257 | 52.18 |
| Azriel Rosenfeld | 3 | 10490 | 6002.75 |