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The image processing handbook

John C. Russ
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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Citations
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Journal ArticleDOI

Recursive sub-image histogram equalization applied to gray scale images

TL;DR: A novel recursive sub-image histogram equalization (RSIHE) is developed to overcome the drawbacks of generic histogramequalization (HE) for gray scale images.
Journal ArticleDOI

Learning techniques used in computer vision for food quality evaluation: a review

TL;DR: The promise of learning techniques for food quality evaluation using computer vision is demonstrated, and some issues which need to be resolved or investigated further to expedite the application of learning algorithms are also discussed.
Journal ArticleDOI

Pharmaceutical applications of vibrational chemical imaging and chemometrics: a review.

TL;DR: An overview of infrared, near-infrared and Raman imaging in pharmaceutics is given, notably as a tool for enhancing drug quality and understanding process.
Journal ArticleDOI

Imaging and image-based fluid transport modeling at the pore scale in geological materials : a practical introduction to the current state-of-the-art

TL;DR: This review aims to provide a practical and accessible introduction to both the experimental and numerical state-of-the-art, intended for students and researchers with backgrounds in experimental geo-sciences or computational sciences alike.