Degraded image analysis using Zernike moment invariants
Hanjie Ji, Hongqing Zhu · 2009
In real imaging system, the observed image is usually corrupted by blurring, spatial degradations. The classical recognition methods in degraded image analysis are to obtain blur invariants based on geometric moments or complex moments. In this paper, we introduce blur invariants based on Zernike moments which are orthogonal over a unit circle. Both the expression of Zernike moments of blurred image and the set of blur invariants based on Zernike moments are presented and proved mathematically. Compared with the pattern classification results of complex moments, the experimental results of Zernike moment demonstrate that the proposed method performs well in object and pattern recognition.