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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

Surface characterization based upon significant topographic features

TL;DR: Watershed segmentation and Wolf pruning as discussed by the authors allow the detection of significant features on surfaces and their characterization in terms of dimension, area, volume, curvature, shape or morphology.
Journal ArticleDOI

Imaging horse tendons using multimodal 2-photon microscopy

TL;DR: Systems of tendons were chemically treated to instigate various extents of injury and in some cases, were injected with stem cells to examine the local mechanical environment of cells in both normal and injured tendons with different 2-photon confocal modalities.
BookDOI

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

TL;DR: Ipson et al. as discussed by the authors described a number of geometrical and intensity procedures which are frequently used in the processing of solar images, including removing radial and non-radial background illumination variations and removing dust lines.
Proceedings ArticleDOI

Automatic Selection of Visual Features and Classifiers

TL;DR: The concept of Recurrent Visual Semantics is introduced and used to identify domains in which performance-based learning techniques such as the one presented can be applied, and results demonstrate the importance, feasibility, and usefulness of dynamic feature/classifier selection for classification of visual information.
Journal ArticleDOI

Technogenic Rock Dumps Physical Properties' Prognosis via Results of the Structure Numerical Modeling

TL;DR: In this paper, the internal structure of the technogenic rock dumps (gob dumps) is investigated and the size distribution of determined fractions depend on the dump height and the amount of several fractions of rock in gob dump.