Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Digital Image Line Extraction and Edge Smoothing and Quality Analysis


Affiliations
1 Department of Computer Science and Engineering, Rungta College of Engineering & Technology, Bhilai, India
2 Department of Computer Science and Engineering Rungta College of Engineering& Technology, Bhilai (C.G.), India
     

   Subscribe/Renew Journal


The image line extraction and edge smoothing in general provides abstracted and stylized rendering of an image. It simplifies the visual interpretation of an image and convey certain features of it more effectively. In this project we are trying to develop a rendering technique that delivers a stylized abstraction of a digital image. Our approach is based on the filtering guided by a directional field that describes the flow of salient characteristics in the image. The line extraction and edge smoothing significantly improves the image quality in terms of feature improvement and image stylization.

Keywords

Digital Image Line Extraction, Edge Smoothing, Image Abstraction, Image Stylization, Filtering.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Henry Kang, Member, IEEE, Seungyong Lee, Member, IEEE, and Charles K. Chui, Fellow, IEEE “Flow-Based Image Abstraction” IEEE Transactions on Visualization and computer graphics, Vol. 15, NO. 1, January/February 2009
  • Kyprianidis, J. E. & Kang, H. (2011). Image and Video Abstraction by Coherence-Enhancing Filtering. Computer Graphics Forum, 30(2), pp. 593-602. (Proceedings Eurographics 2011)
  • C. Tomasi , Computer Science Department, Stanford University, R. Manduchi, Interactive Media Group, Apple Computer, Inc. ” Bilateral Filtering for Gray and Color Images” Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India
  • Jan Eric Kyprianidis, John Collomosse, Tinghuai Wang, and Tobias Isenberg,” State of the ‘Art’: A Taxonomy of Artistic Stylization Techniques for Images and Video”, IEEE Transactions on visualization and computer graphics, 2012 (Authors’ Version)
  • Jan Eric Kyprianidis Hasso-Plattner-Institute, Germany, Henry Kang University of Missouri, St. Louis, USA,” Image and Video Abstraction by Coherence-Enhancing Filtering”, Eurographics 2011 / M. Chen and O. Deussen(Guest Editors) Volume 30 (2011), Number 2
  • C. Tomasi R. Manduchi Computer Science Department Interactive Media Group Stanford University Apple Computer, Inc. Stanford, “Bilateral Filtering for Gray and Color Images” Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India
  • Ying Li, Tong Zhang, Daniel Tretter Imaging Systems Laboratory HP Laboratories Palo Alto, “An Overview of Video Abstraction Techniques”

Abstract Views: 813

PDF Views: 0




  • Digital Image Line Extraction and Edge Smoothing and Quality Analysis

Abstract Views: 813  |  PDF Views: 0

Authors

Omprakash Barapatre
Department of Computer Science and Engineering, Rungta College of Engineering & Technology, Bhilai, India
Dharmendra Roy
Department of Computer Science and Engineering Rungta College of Engineering& Technology, Bhilai (C.G.), India

Abstract


The image line extraction and edge smoothing in general provides abstracted and stylized rendering of an image. It simplifies the visual interpretation of an image and convey certain features of it more effectively. In this project we are trying to develop a rendering technique that delivers a stylized abstraction of a digital image. Our approach is based on the filtering guided by a directional field that describes the flow of salient characteristics in the image. The line extraction and edge smoothing significantly improves the image quality in terms of feature improvement and image stylization.

Keywords


Digital Image Line Extraction, Edge Smoothing, Image Abstraction, Image Stylization, Filtering.

References