International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 139 - Number 12 |
Year of Publication: 2016 |
Authors: Amandeep, Parveen Singla |
10.5120/ijca2016909373 |
Amandeep, Parveen Singla . Designing and Performance Evaluation of an Advanced Method for Corner Detection using Harris Technique. International Journal of Computer Applications. 139, 12 ( April 2016), 6-11. DOI=10.5120/ijca2016909373
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.