Abstract
This paper introduces four classes of orthogonal transforms by modifying the generic polar harmonic transforms. Then, the rotation invariant feature of the proposed transforms is investigated. Compared with the traditional generic polar harmonic transforms, the proposed transforms have the ability to describe the central region of the image with a parameter controlling the area of the region. Experimental results verified the image representation capability of the proposed transforms and showed better performance of the proposed transform in terms of rotation invariant pattern recognition.
Sign-in/Register to access full text options 
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.
