文章基本信息

标题：Genetic Algorithm Works for Vectoring Image Outlines of Generic Shapes
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作者：Misbah Irshad ; Muhammad Sarfraz ; Malik Zawwar Hussain 等
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2013
卷号：6
期号：7
页码：329-337
DOI：10.4236/jsea.2013.67041
出版社：Scientific Research Publishing
摘要：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.
关键词：Spline; Approximation; Curve Fitting; Genetic Algorithm; Generic Shapes