DocumentCode :
304510
Title :
Curve evolution and segmentation functionals: application to color images
Author :
Shah, Jayant
Author_Institution :
Dept. of Math., Northeastern Univ., Boston, MA, USA
Volume :
1
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
461
Abstract :
Curve evolution has developed into an important tool in computer vision and has been applied to a wide variety of problems such as smoothing of shapes, shape analysis and shape recovery. The different versions of curve evolution used in computer vision together with the preprocessing step of constructing an edge-strength function can be integrated in the form of a new segmentation functional. The new functional permits junctions such as triple points to develop. The numerical solutions obtained retain sharp discontinuities or “shocks”, thus providing sharp demarcation of object boundaries. The new segmentation functional is extended for application to vector-valued features such as color
Keywords :
computer vision; edge detection; feature extraction; functional analysis; image colour analysis; image segmentation; smoothing methods; color images; computer vision; curve evolution; edge-strength function; junctions; numerical solutions; object boundaries; preprocessing step; segmentation functionals; shape analysis; shape recovery; shape smoothing; sharp discontinuities; shocks; triple points; vector-valued features; Application software; Color; Computer vision; Image segmentation; Information geometry; Mathematics; Shape; Skeleton; Smoothing methods; Surface morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.559533
Filename :
559533
Link To Document :
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