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Papakostas, G.A., Karras, D.A., Mertzios, B.G. and Boutalis, Y.S. (2005) An Efficient Feature Extraction Methodology for Computer Vision Applications Using Wavelet Compressed Zernike Mo-ments. International Journal on Graphics, Vision and Image Processing, Wavelets and Their Applications, SI1, 5-15.

has been cited by the following article:

• TITLE: An Improved Algorithm for Pseduo-Jacobi-Fourier Moments

  AUTHORS: Guleng Amu

  KEYWORDS: Invariant Moments, Cartesian Coordinate System, Image Reconstruction

  JOURNAL NAME: Optics and Photonics Journal, Vol.7 No.8B, August 10, 2017

  ABSTRACT: Image moments have been used in many research fields of the engineering. However, the related computation of invariant moments mostly adopted the polar coordinate system, which not only increase the computational load, but also cause large quantized error. To solve this problem, an improved algorithm to compute Pseudo-Jacobi-Fourier moments in the Cartesian coordinate system is proposed in this paper. The experimental results show that the reconstructed image with improved PJFM’s has more advantages than polar coordinate system, such as more information, fewer moments, less time consuming. And the recognition rate of the microscopic images of 8 helminth eggs was also higher than in polar coordinate system.