DocumentCode
2619532
Title
Segmentation and grouping of object boundaries using energy minimization
Author
Trytten, Deborah A. ; Tuceryan, Mihran
Author_Institution
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
fYear
1991
fDate
3-6 Jun 1991
Firstpage
730
Lastpage
731
Abstract
An algorithm is described which performs curvilinear grouping of image edge elements for detecting object boundaries. The method works by generating hypotheses and selecting the best one. A neighborhood definition based on Delaunay graph is used to keep the number of generated hypotheses small. An energy minimizing curve is fit to the generated hypotheses to evaluate the grouping and locate discontinuities
Keywords
pattern recognition; picture processing; Delaunay graph; contour detection; curvilinear grouping; discontinuities; energy minimization; image edge elements; neighborhood definition; object boundaries; segmentation; Computer science; Data preprocessing; Detection algorithms; Detectors; Humans; Image edge detection; Image reconstruction; Image segmentation; Minimization methods; Object detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location
Maui, HI
ISSN
1063-6919
Print_ISBN
0-8186-2148-6
Type
conf
DOI
10.1109/CVPR.1991.139803
Filename
139803
Link To Document