Grouping and parameterizing irregularly spaced points for curve fitting
ACM Transactions on Graphics (TOG)
Global Optimization by Multilevel Coordinate Search
Journal of Global Optimization
Pattern Recognition Letters
Approximation of digital curves with line segments and circular arcs using genetic algorithms
Pattern Recognition Letters
A randomized knot insertion algorithm for outline capture of planar images using cubic spline
Proceedings of the 2007 ACM symposium on Applied computing
A Corner-Finding Algorithm for Chain-Coded Curves
IEEE Transactions on Computers
Feature Extraction & Image Processing, Second Edition
Feature Extraction & Image Processing, Second Edition
An automatic algorithm for approximating boundary of bitmap characters
Future Generation Computer Systems
Capturing planar shapes by approximating their outlines
Journal of Computational and Applied Mathematics
Designing objects with a spline
International Journal of Computer Mathematics
Hi-index | 0.00 |
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 cubic spline introduced. The spline method ultimately produces optimal results for the approximate vectorization of the digital contour obtained from the generic shapes.