Paper Info
Title
Fast hough transform based on 3d image space division
Abstract
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 Zorski141.87