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The image processing handbook

John C. Russ
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TLDR
In this paper, the acquisition and use of digital images in a wide variety of scientific fields is discussed. But the focus is on high dynamic range imaging in more than two dimensions.
Abstract
"This guide clearly explains the acquisition and use of digital images in a wide variety of scientific fields. This sixth edition features new sections on selecting a camera with resolution appropriate for use on light microscopes, on the ability of current cameras to capture raw images with high dynamic range, and on imaging in more than two dimensions. It discusses Dmax for X-ray images and combining images with different exposure settings to further extend the dynamic range. This edition also includes a new chapter on shape measurements, a review of new developments in image file searching, and a wide range of new examples and diagrams"

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Journal ArticleDOI

Does DIAGNOdent provide a reliable caries-removal endpoint?

TL;DR: LIF measured by DIAGNOdent is influenced by staining in residual dentine, therefore, its use to determine the caries-removal endpoint is doubtful.
Journal ArticleDOI

Development of image analysis techniques as a tool to detect and quantify morphological changes in anaerobic sludge: I. Application to a granulation process

TL;DR: Image analysis techniques developed and applied to quantify the process of anaerobic granulation in an expanded granular sludge blanket reactor fed with a synthetic substrate based on glucose and volatile fatty acids revealed to be good indicators of granular slab stability, since they were sensitive to detected filaments release, fragmentation, and erosion that usually leads to washout.
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The point spread function revisited: image restoration using 2-D deconvolution

TL;DR: The quality of an image can be significantly improved by digital deconvolution with the (two-dimensional) point spread function (PSF) of the imaging system as long as magnified images are obtained and digitized and Wiener filtering is used.
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A calibration procedure to obtain solid concentrations from digital images of bulk powders

TL;DR: In this paper, a logarithmic relation between the grey scale values of the bed images and the powder volume fraction was shown to produce a high quality calibration curve without the need of fitting constants.
Journal ArticleDOI

Automated quantitative image analysis of nanoparticle assembly

TL;DR: A quantitative image analysis software to characterize key structural properties of NP clusters from experimental images of nanocomposites, providing quantitative information that can be used to elucidate the physical mechanisms governing NP assembly.