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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
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Journal ArticleDOI
Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images
TL;DR: Fuzzy excess red (ExR) and excess green (ExG) indices and clustering algorithms: fuzzy c-means (FCM) and Gustafson-Kessel (GK) were studied for unsupervised classification of hidden and prominent regions of interest (ROI) in color images.
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Detection and segmentation of drusen deposits on human retina: potential in the diagnosis of age-related macular degeneration.
TL;DR: A novel segmentation technique, the histogram-based adaptive local thresholding (HALT), which extracts the useful information from an image without being affected by the presence of other structures, is developed, which indicates that the proposed drusen detector gives reliable detection accuracy in both position and mass size.
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Damage initiation in model metallic materials: X-ray tomography and modelling
TL;DR: In this paper, the effects of matrix elastoplastic properties and reinforcement volume fraction on damage initiation in model heterogeneous metals have been studied using in situ tensile tests coupled with high resolution X-ray tomography.
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Downscaling cokriging for image sharpening
TL;DR: The present paper discusses the downscaling cokriging method, shows its implementation and illustrates the process in the case of sharpening several remotely sensed images.
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Combining X-ray microtomography with computer simulation for analysis of granular and porous materials
TL;DR: It is concluded that the use of quantitative parameters such as the number of interparticle contacts, force networks or granule shape to link both techniques is still underrepresented in the literature and strategies to provide a more robust and quantitative approach to optimise the information obtained from such tomography analyses are proposed.