Name
Abstract | ||
|---|---|---|
X-ray mapping images of polished sections are classified using two unsupervised clustering algo- rithms. The methods applied are the k-means algo- rithm and an extended spectral fuzzy c-means algo- rithm. The extentions include new types of member- ships that are related to the contextual information. In addition to the traditional spectral membership we apply a spatial membership and a parental mem- bership. The parental membership is introduced by implementing the algorithm in a scale-space repre- sentation. Both spectral and spatial information is carried across levels, enhancing speed and visual im- pression of the segmentation of image data. |
Year | Venue | Keywords |
|---|---|---|
2000 | MVA | k means,scale space,spatial information |
Field | DocType | Citations |
Spatial analysis,Computer vision,Contextual information,Pattern recognition,Segmentation,Impression,Fuzzy logic,Artificial intelligence,Cluster analysis,Mathematics | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Klaus Baggesen Hilger | 1 | 28 | 4.42 |
| Allan Aasbjerg Nielsen | 2 | 226 | 25.09 |
| Jens Michael Carstensen | 3 | 83 | 14.27 |