Abstract
In this paper, a new polygonal approximation method is proposed. It determines the optimal polygons of digital curves based on genetic algorithms (GAs) since they employ parallel search and have good performance in solving optimization problems. The genetic operators used here are specifically designed for this application. The performance of the proposed method is compared to that of several existing methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
