• Dec 20, 2017 News!ACMLC 2017 has been successfully held in NEC, Singapore during December 8-10.   [Click]
  • Dec 12, 2017 News!Good News! All papers from Volume 7, Number 1 to Volume 7, Number 5 have been indexed by Scopus!   [Click]
  • Mar 05, 2018 News!Welcome Assoc. Prof. Xianghua Xie, University of Swansea, UK joins our editorial board.
General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(3): 301-307 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.135

Two Approaches for Vectorizing Image Outlines

Muhammad Sarfraz

Abstract—Two approaches, based on linear and conic splines, are proposed here for vectorizing image outlines. Both of the approaches have various phases including extracting outlines of images, detecting corner points from the detected outlines, and curve fitting. Interpolation splines are the bases of the two approached. Linear spline approach is straight forward as it does not have a degree of freedom.in terms of some shape controller in its description. However, the idea of the soft computing approach, namely simulated annealing, has been utilized for conic splines. This idea has been incorporated to optimize the shape parameters in the description of the generalized conic spline. Both of the linear and conic approaches ultimately produce optimal results for the approximate vectorization of the digital contours obtained from the generic shapes. Demonstrations and a comparative study also make the essential parts of the paper.

Index Terms—Vectorization, corner points, generic shapes, curve fitting.

M. Sarfraz is with the Department of Information Science, Kuwait University, Adailiya Campus, Kuwait (e-mail: muhamad.sarfraz@ku.edu.ke;prof.m.sarfraz@gmail.com).


Cite: Muhammad Sarfraz, "Two Approaches for Vectorizing Image Outlines," International Journal of Machine Learning and Computing vol. 2, no. 3, pp. 301-307, 2012.

Copyright © 2008-2018. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net