TITLE:
Genetic Algorithm Works for Vectoring Image Outlines of Generic Shapes
AUTHORS:
Misbah Irshad, Muhammad Sarfraz, Malik Zawwar Hussain
KEYWORDS:
Spline; Approximation; Curve Fitting; Genetic Algorithm; Generic Shapes
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.7,
June
28,
2013
ABSTRACT: This work proposes a scheme which
helps digitizing hand printed and electronic planar objects or vectorizing the
generic shapes. An evolutionary optimization technique namely Genetic Algorithm
(GA) is used to solve the problem of curve fitting with a cubic spline
function. GA works well for finding the optimal values of shape parameters in
the description of the proposed cubic spline. The underlying scheme comprises
of various phases including data of the image outlines, detection of corner
points, using GA for optimal values of shape parameters, and fitting curve
using cubic spline to the detected corner points.