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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

Comparing geometric morphometrics and outline fitting methods to monitor fish shape variability of Diplodus puntazzo (Teleostea: Sparidae)

TL;DR: Fourier analysis’ growth curves are very similar to geometric morphometrics’ ones and allows for an appropriate visualisation of global shape changes and this method is considered as the best candidate in the context of automated fish shape monitoring.
Journal ArticleDOI

Machine Learning for Brain Stroke: A Review

TL;DR: The aim of this work is to classify state-of-arts on ML techniques for brain stroke into 4 categories based on their functionalities or similarity, and then review studies of each category systematically to identify a research gap for further investigation.
Journal ArticleDOI

Regenerate bone formation and remodeling during mandibular osteodistraction.

TL;DR: The mineral apposition rate gradually increased from the end of distraction to the fourth week of consolidation, at which time it remained constant until sometime before the eighth week, when it tapered off slightly as remodeling increased.
Journal Article

The ihs transformations based image fusion

TL;DR: The IHS sharpening technique is one of the most commonly used techniques for sharpening. as mentioned in this paper explored different IHS transformation techniques and experiment it as IHS based image fusion.
Book ChapterDOI

An efficient euclidean distance transform

TL;DR: It is shown that the Euclidean distance squared transform requires fewer computations than the commonly used 5x5 chamfer transform.