Title :
Complete sets of complex Zernike moment invariants and the role of the pseudoinvariants
Author :
Wallin, Åke ; Kübler, Olaf
Author_Institution :
M.E. Muller-Inst. for Biomech., Bern Univ., Switzerland
fDate :
11/1/1995 12:00:00 AM
Abstract :
Moment invariants are important shape descriptors in computer vision. In this paper rules are presented to form complete sets of rotational invariants of arbitrary order given complex Zernike moments. The relevance of the pseudoinvariants is shown by inverting the rotational invariants to reconstruct the normalized image pattern
Keywords :
computer vision; image reconstruction; method of moments; complex Zernike moments; computer vision; image pattern normalisation; moment invariants; pseudoinvariants; rotational invariants; shape descriptors; Biomedical imaging; Character recognition; Computer vision; Image generation; Image processing; Image recognition; Image reconstruction; Polynomials; Reflection; Shape;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on