Optimization of countour based template matching using GPGPU based hexagonal framework

Authors

  • Mayank Bhagya Bachelor of Technology, Department of CSE NITK Surathkal Karnataka, India
  • Sanjay Tripath Bachelor of Technology, Department of CSE NITK Surathkal Karnataka, India
  • P. Santhi Thilagam Associate Professor, Department of COE NITK Surathkal Karnataka, India

Keywords:

computer vision; image edge detection; image recognition; image sampling

Abstract

This paper presents a technique to optimize contour based template matching by using General Purpose computation on Graphics Processing Units (GPGPU). Contour based template matching requires edge detection and searching for presence of a template in an entire image, real time implementation of which is not trivial. Using the proposed solution, we could achieve an implementation fast enough to process a standard video (640 x 480) in real time with sufficient accuracy.

Downloads

Download data is not yet available.

Downloads

Published

2015-01-01

How to Cite

Mayank Bhagya, Sanjay Tripath, & P. Santhi Thilagam. (2015). Optimization of countour based template matching using GPGPU based hexagonal framework. International Journal of Computer Information Systems and Industrial Management Applications, 7, 9. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/287

Issue

Vol. 7 (2015)

Section

Original Articles

License

Copyright (c) 2023 International Journal of Computer Information Systems and Industrial Management Applications

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.