Abstract
In order to improve the performance of image reconstruction and image recognition accuracy in classic image orthogonal moments, a new set of moments based on the weighted spherical Bessel polynomial of the first kind is proposed, named weighted spherical Bessel–Fourier moments (WSBFMs), which are orthogonal in polar coordinate domain and can be thought as generalized and orthogonal complex moments. Then, the set of proposed WSBFMs is derived from the weighted spherical Bessel polynomial and image rotation-invariant is easily to achieve. Compared with Zernike, orthogonal Fourier–Mellion and Bessel polynomials of the same degree, the weighted spherical Bessel orthogonal radial polynomials have more zeros value, and these zeros value are more uniformly distributed. It makes WSBFMs more suitable for geometric invariant recognition as a generalization of orthogonal complex moments. Finally, Theoretical and experimental results show the superiority of the new orthogonal moments in terms of image reconstruction capability and invariant object recognition accuracy under noise-free, noisy and smooth distortion condition.
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.
