DocumentCode :
384375
Title :
Perceptual grouping in grey-level images by combination of Gabor filtering and tensor voting
Author :
Massad, Amin ; Babós, Martin ; Mertsching, Bärbel
Author_Institution :
Dept. of Comput. Sci., Hamburg Univ., Germany
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
677
Abstract :
We present the extension of a perceptual grouping method known as tensor voting to the application on grey-level images. In addition to formerly used inputs consisting of binary images or edgel maps, we introduce the use of local orientation tensors which are computed from a set of Gabor filters applied to the input image. This approach not only yields oriented input tokens but also the locations of junctions as input to the perceptual grouping. We show how this extension can smoothly be embedded into the tensor voting framework and demonstrate the method on example images.
Keywords :
edge detection; filtering theory; image reconstruction; image segmentation; natural scenes; tensors; Gabor filtering; binary images; edge extraction; edgel maps; grey-level images; junction locations; local orientation tensors; natural scene; oriented input tokens; perceptual grouping; saliency maps; tensor voting; Application software; Computer science; Differential equations; Eigenvalues and eigenfunctions; Filtering; Gabor filters; Joining processes; TV; Tensile stress; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048392
Filename :
1048392
Link To Document :
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