Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Decorative Line and Edge Extraction in Cartoon Images

1Tiejun Zhang, 1Qi Han, 2Xuefeng Bai and 1Xiamu Niu
1School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150080, China
2Harbin Institute of Technology, Shenzhen Graduate School, Guangdong 518055, China
Research Journal of Applied Sciences, Engineering and Technology  2013  15:4013-4017
http://dx.doi.org/10.19026/rjaset.5.4469  |  © The Author(s) 2013
Received: November 29, 2012  |  Accepted: January 01, 2013  |  Published: April 25, 2013

Abstract

Decorative Lines and edges in a cartoon image are the most important elements to convey its semantic information. In this study, we propose a method to extract both decorative lines and edges of the cartoon image at the same time. Firstly, we use the Hessian matrix to compute the direction perpendicular to the decorative lines in the image. Then, non-maximum suppression is applied to the image’s second derivative of Gaussian to locate the possible decorative line’s center. Secondly, we use directional zero-crossing (the zero-crossing of the first Gaussian derivative on the precomputed direction) to verify the existence of the decorative lines. Finally, decorative lines and the edges detected by non-maximum suppression on the first Gaussian derivative are fused together. The experimental results show that our method is more effective than other existed methods in literature for complicated cartoon images.

Keywords:

Decorative line detection, directional zero-crossing, hessian matrix,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved