Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

Designing and Performance Evaluation of an Advanced Method for Corner Detection using Harris Technique

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Amandeep, Parveen Singla
10.5120/ijca2016909373

Amandeep and Parveen Singla. Article: Designing and Performance Evaluation of an Advanced Method for Corner Detection using Harris Technique. International Journal of Computer Applications 139(12):6-11, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Amandeep and Parveen Singla},
	title = {Article: Designing and Performance Evaluation of an Advanced Method for Corner Detection using Harris Technique},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {12},
	pages = {6-11},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Corner detection is a significant task in different machine vision and image processing systems because corners play an important role in describing object unique features for recognition and identification. Corner detection comes within reach of computer visualization systems to extract certain kinds of characteristics and understand the contents of an image. In this work modify the Harris technique in order to enhance the performance of corner detection. To include the effect of Morphology technique on the modified Harris corner technique. Observe the simulation results of proposed detection technique & compare results with traditional method. MATLAB R2013a has been used as an implementation platform using generalized MATLAB toolbox and image processing tool box.

References

  1. Harris, C., Stephens, M.: A combined corner and edge detector. Proc. 4th Alvey Vision Conference, pp. 147-151 (1988)
  2. Han Wang” Gray Level Corner Detection” IAPR Workshop on Machine Vision Applications. Nov. 17-19. 1998, Makuhari, Chiba. Japan
  3. Akshay Bhatia” Hessian-Laplace Feature Detector and Haar Descriptor for Image Matching” Ottawa, Canada, 2007
  4. Lin Zhang” A Multi-Scale Bilateral Structure Tensor Based Corner Detector” Biometrics Research Center, Department of Computing The Hong Kong Polytechnic University Hong Kong, China
  5. Smith, Stephen M. and J. Michael Brady, “SUSAN -- A New Approach to Low Level Image Processing”, International Journal of Computer Vision, 1997.

Keywords

Harris Technique, Morphology Technique MATLAB etc.