Reconstruction of color biomedical images by means of quaternion generic Jacobi-Fourier moments in the framework of polar pixels
| Autor: | José Javier Báez-Rojas, Carina Toxqui-Quitl, Alfonso Padilla-Vivanco, César Camacho-Bello |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Color histogram
Pixel Color image business.industry Image Processing 02 engineering and technology 01 natural sciences 010309 optics symbols.namesake 0103 physical sciences 0202 electrical engineering electronic engineering information engineering symbols Medicine Jacobi polynomials RGB color model 020201 artificial intelligence & image processing Radiology Nuclear Medicine and imaging Quaternion business Algorithm Image restoration Numerical stability |
| Zdroj: | Journal of Medical Imaging. 3:014004 |
| ISSN: | 2329-4302 |
| DOI: | 10.1117/1.jmi.3.1.014004 |
| Popis: | 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 [Formula: see text] and [Formula: see text] 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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