5 September 2012 Polar Zernike moments and rotational invariance
Rajarshi Biswas, Sambhunath Biswas
Author Affiliations +
Abstract
Zernike moments (ZM) have potentials in pattern recognition, image analysis/processing, and in computer vision. Their invariance and orthogonality are attractive in many applications. Unfortunately, direct computation of factorials in them is time consuming and discouraging. Also, people have shown poor invariance for Cartesian ZM in the discrete case. Need of a faster computing algorithm with better rotational invariance is already felt in various research communities. To find a solution, we have examined a completely new approach which comprises a unique mapping of a gray-level image on a discrete circular disk to compute Cartesian as well as polar ZM through a new recursive relation. Such a map does not require any special sampling. The proposed new recursion is based on the computational structure of the radial polynomial embedded in the ZM. Fast computation of ZM, in our case, uses the developed new recursion and the properties of discrete circles, e.g., symmetry, uniqueness, and hole-free generation of discrete disk. This discrete circular map helps not only the fast computation of ZM but also lends its support to provide better rotational invariance for polar ZM over that of Cartesian ZM. The invariance is useful in recognition.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Rajarshi Biswas and Sambhunath Biswas "Polar Zernike moments and rotational invariance," Optical Engineering 51(8), 087204 (5 September 2012). https://doi.org/10.1117/1.OE.51.8.087204
Published: 5 September 2012
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image analysis

Optical engineering

Detection and tracking algorithms

Error analysis

Machine vision

Pattern recognition

Zernike polynomials

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