Abstract | ||
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This paper presents a problem of 3D images decomposition into spheres. The presented method is based on a fast Hough transform with an input image space division. An essential element of this method is the use of a clustering technique for partial data sets. The method simplifies the application of Hough transform to segmentation tasks as well as accelerates calculations considerably. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1007/11864349_97 | ACIVS |
Keywords | Field | DocType |
segmentation task,essential element,partial data set,clustering technique,input image space division,images decomposition,3d imaging,hough transform | Top-hat transform,Computer vision,Scale-invariant feature transform,Data set,Pattern recognition,Computer science,Segmentation,Binary image,Image processing,Hough transform,Artificial intelligence,Cluster analysis | Conference |
Volume | ISSN | ISBN |
4179 | 0302-9743 | 3-540-44630-3 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Witold Zorski | 1 | 4 | 1.87 |