Title :
Capturing Image Outlines Using Soft Computing Approach with Conic Splines
Author :
Sarfraz, Muhammad ; Al-Dabbous, Naelah
Author_Institution :
Dept. of Inf. Sci., Kuwait Univ., Safat, Kuwait
Abstract :
An optimization technique is proposed for the outline capture of planar images. The overall technique has various phases including extracting outlines of images, detecting corner points from the detected outline, and curve fitting. The idea of multilevel coordinate search has been used to optimize the shape parameters in the description of the generalized conic spline introduced. The spline method ultimately produces optimal results for the approximate vectorization of the digital contour obtained from the generic shapes.
Keywords :
curve fitting; edge detection; feature extraction; object detection; splines (mathematics); corner points detection; curve fitting; generalized conic spline; image outline extraction; multilevel coordinate search; optimization technique; planar images outline capture; soft computing approach; Computer graphics; Curve fitting; Data mining; Image segmentation; Information science; Iterative algorithms; Pattern recognition; Phase detection; Shape; Shearing; Generic shapes; Optimization; curve fitting; multilevel coordinate search; spline;
Conference_Titel :
Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
Conference_Location :
Malacca
Print_ISBN :
978-1-4244-5330-6
Electronic_ISBN :
978-0-7695-3879-2
DOI :
10.1109/SoCPaR.2009.65
