Open AccessBook
The image processing handbook
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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Journal ArticleDOI
Nonwoven Uniformity — Measurements Using Image Analysis:
TL;DR: In this article, statistical measures have been developed for quality control as well as characterization of mass distribution in fibrous substrates, and the mass distribution has been measured by imaging techniques.
Journal ArticleDOI
Development of image analysis techniques as a tool to detect and quantify morphological changes in anaerobic sludge: II. Application to a granule deterioration process triggered by contact with oleic acid
António L. Amaral,Maria Alcina Pereira,M. da Motta,M. N. Pons,Manuel Mota,Eugénio C. Ferreira,M. Madalena Alves +6 more
TL;DR: LfA was sensitive to the sludge deterioration process and was able to indicate, with the anticipation of about 1 month, the most significant biomass washout episode that occurred in the trial period.
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Image-based autonomous micromanipulation system for arrangement of spheres in a scanning electron microscope
TL;DR: In this article, the authors constructed an automatic system which arranges 10-μm-sized microspheres into a given two-dimensional pattern in a scanning electron microscope (SEM).
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Efficient CT metal artifact reduction based on fractional-order curvature diffusion.
TL;DR: This work proposes a novel metal artifact reduction method based on a fractional-order curvature driven diffusion model for X-ray computed tomography that achieves better performance than existing projection interpolation methods, including linear interpolation and total variation.
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Image characterization of potato chip appearance during frying
TL;DR: In this paper, the authors evaluated the suitability of a computerized image analysis technique (with a flatbed scanner for image acquisition) in order to measure the amount and distribution of the most important visual aspects of potato chips: colour components (L *, a * and b *), brown and oily areas on the surface.