21 October 2013 Modifications of iterative schemes used for curvature correction in noninvasive biomedical imaging
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J. of Biomedical Optics, 18(10), 100503 (2013). doi:10.1117/1.JBO.18.10.100503
Abstract
Iterative polynomial fitting along image rows and columns has recently been used to remove curvature bias in multispectral image sets of the human forearm and phantoms. However, this method is only applicable if foreground and background features satisfy strong separation conditions. In this method, we verify that the iterative polynomial approach converges toward bivariate polynomial fitting, and, hence, the resulting fit corresponds to low-pass filtering the image. In contrast to the iterative fitting, the bivariate polynomial fit can be performed on images with missing or excluded parts. Indeed, our observation enables us to modify the scheme and significantly weaken the required assumptions on foreground/background separation allowing a wider range of application.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
Martin Ehler, "Modifications of iterative schemes used for curvature correction in noninvasive biomedical imaging," Journal of Biomedical Optics 18(10), 100503 (21 October 2013). http://dx.doi.org/10.1117/1.JBO.18.10.100503
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KEYWORDS
Image filtering

Linear filtering

Biomedical optics

Feature extraction

Matrices

Multispectral imaging

Analytical research

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