Abstract
Corner detection is a critical and basic task in computer vision and image processing. By far the existing boundary-based wavelet transform approaches can not directly be utilized in gradient image because the theories are mainly about 1-D wavelet transform. We put forward a novel corner detection technique based on 2-D discrete wavelet transform. The corners are extracted by several preset thresholds. Experimental results indicate that this algorithm is not only easy computation and efficient location but is immune to noise. Comparison with a recently proposed technique is also provided.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
