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The image processing handbook
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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"read more
Citations
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Book ChapterDOI
Spatiotemporal Mapping Techniques for Quantifying Gut Motility
TL;DR: Intense mapping can be useful for identifying motility patterns but is less quantitative, and ancillary methods for deriving further information from ST maps and practical considerations for applying the mapping techniques are discussed.
Journal ArticleDOI
Do you see what I see? The difference between dog and human visual perception may affect the outcome of experiments.
TL;DR: This work shows the visual performance of humans under circumstances that model how dogs' weaker vision would affect their responses in an ethological experiment, and urges researchers to take into consideration the differences between perceptual abilities of dogs and humans, by developing visual stimuli that fit more appropriately to dogs' visual capabilities.
Proceedings ArticleDOI
Medical image restoration with different types of noise
TL;DR: This work proposes a method designed to reduce the Gaussian, the impulsive and speckle noise and combined noise, called PGNDF, which combines a non-linear diffusive filter with a peer group with fuzzy metric technique.
Journal ArticleDOI
Evaluation of image segmentation approaches for non-destructive detection and quantification of corrosion damage on stonework
TL;DR: This paper approaches the non-destructive analysis of corrosion damage by testing and evaluating several image segmentation schemes for the detection of decay areas and studies the corrosion mechanisms.
Journal ArticleDOI
Support vector machine learning applied to digital images of river ice conditions
H. Kalke,Mark R. Loewen +1 more
TL;DR: Site specific SVM models for estimating surface ice concentration were shown to be a feasible and accurate tool for river ice monitoring that could potentially aid in the validation of numerical models and improve understanding of river freeze-up processes.