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

fYear

2009

fDate

4-7 Dec. 2009

Firstpage

289

Lastpage

294

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SoCPaR.2009.65

Filename

5370478