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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

Quantifying anisotropy of trabecular bone from gray-level images.

TL;DR: Multivariable regression models combining BMD and measures of anisotropy, as proposed by the relations formulated by Cowin, revealed significant improvement in the prediction of the secant modulus.
Journal ArticleDOI

Normalizing counts and cerebral blood flow intensity in functional imaging studies of the human brain.

TL;DR: Three normalization procedures were evaluated on their ability to remove extraneous error variation, induce homogeneity of intersubject variation, and remove unwanted dependencies, and all worked well at removing the dependency of rCBF on gCBF in count and flow images.
Journal ArticleDOI

Quantitative CT Predicts the Severity of Physiologic Dysfunction in Patients With Lymphangioleiomyomatosis

TL;DR: The quantitative CT index correlates well with physiologic measurements of airflow, lung volumes, diffusing capacity, and exercise performance and, thus, may provide a useful measure of disease severity.
Journal ArticleDOI

Convexity-Based Visual Camouflage Breaking

TL;DR: This work presents an operator, Darg, that is applied directly to the intensity image in order to detect 3D smooth convex (or equivalently: concave) objects and shows that detection by Darg is shown to be very robust, from both theoretic considerations and practical examples of real-life images.
Book

Nearshore Bathymetry Derived from Video Imagery

TL;DR: Aarninkhof et al. as mentioned in this paper presented two complementary methods to quantify intertidal and subtidal beach bathymetry from time-averaged video observations and applied them to a nourished beach at Egmond (The Netherlands) to reveal unexpected morphodynamic behaviour that would have been hard to measure with traditional survey techniques.