K. Swaminathan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
K. Swaminathan has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
R. Balasubramanian
Department of Mathematics , Indian Institute of Technology, Roorkee , Roorkee, 247 667, India
1 shared publicationYatharth Saraf
Department of Computer Science , Birla Institute of Technology and Science , Pilani, Rajasthan, 333 031, India
1 shared publication
Latest Publications
- 1 June 2005
- Published by Taylor & Francis in International Journal of Computer Mathematics
- Vol. 82 (6) , 673-684
A classical approach for thinning of binary images using divergence of the potential field
In this paper, an algorithm for thinning of an object from its binary image is described. A generalized potential field is defined over the interior of the object and the divergence of the corresponding vector field is computed for each interior pixel. Then, those pixels of the object whose divergence values are above some specified threshold are selected, resulting in a thinned version of the original object. The density of the resulting skeletal structure can be controlled using different threshold values. The thinned version of the object obtained by this method can be used for image compression and shape matching.
- 1 June 2005
- Published by Taylor & Francis in International Journal of Computer Mathematics
- Vol. 82 (6) , 673-684
A classical approach for thinning of binary images using divergence of the potential field
In this paper, an algorithm for thinning of an object from its binary image is described. A generalized potential field is defined over the interior of the object and the divergence of the corresponding vector field is computed for each interior pixel. Then, those pixels of the object whose divergence values are above some specified threshold are selected, resulting in a thinned version of the original object. The density of the resulting skeletal structure can be controlled using different threshold values. The thinned version of the object obtained by this method can be used for image compression and shape matching.