11 March 2016 Reconstruction of color biomedical images by means of quaternion generic Jacobi-Fourier moments in the framework of polar pixels
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Abstract
A detailed analysis of the quaternion generic Jacobi-Fourier moments (QGJFMs) for color image description is presented. In order to reach numerical stability, a recursive approach is used during the computation of the generic Jacobi radial polynomials. Moreover, a search criterion is performed to establish the best values for the parameters α and β of the radial Jacobi polynomial families. Additionally, a polar pixel approach is taken into account to increase the numerical accuracy in the calculation of the QGJFMs. To prove the mathematical theory, some color images from optical microscopy and human retina are used. Experiments and results about color image reconstruction are presented.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2016/$25.00 © 2016 SPIE
César Camacho-Bello, Alfonso Padilla-Vivanco, Carina Toxqui-Quitl, and José Javier Báez-Rojas "Reconstruction of color biomedical images by means of quaternion generic Jacobi-Fourier moments in the framework of polar pixels," Journal of Medical Imaging 3(1), 014004 (11 March 2016). https://doi.org/10.1117/1.JMI.3.1.014004
Published: 11 March 2016
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Cited by 19 scholarly publications.
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KEYWORDS
RGB color model

Biomedical optics

Image restoration

Retina

Reconstruction algorithms

Bacteria

Signal to noise ratio

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