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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139803
