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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

Fibrochondrogenesis of free intraarticular small intestinal submucosa scaffolds.

TL;DR: In this paper, small intestine submucosa (SIS) is used as a potential scaffold for engineering various tissue types, such as the human lung, liver, and brain.
Proceedings ArticleDOI

A system for real-time fabric inspection and industrial decision

TL;DR: Experiments show the accuracy and applicability of the proposed techniques for a real factory environment of an inspection system for textile industries that aims automatic failure detection.
Journal ArticleDOI

Grain boundary tracking: A four-dimensional visualization technique for determining grain boundary geometry via local strain mapping

TL;DR: In this paper, a procedure for determining three-dimensional grain boundary geometry and its change under external loading is proposed for evaluating crystallographic deformation behaviors in polycrystalline materials, and the feasibility of this approach is confirmed for an aluminium alloy.
Book ChapterDOI

Bio-inspired computation and its applications in image processing: an overview

TL;DR: This chapter presents an overview of bio-inspired computation and its application in image processing, including some current trends and important issues, such as efficiency and time constraints.