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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
Survey: Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art
S. Dehuri,S. B. Cho +1 more
TL;DR: An extensive experimental study has been carried out to compare the importance and effectiveness of the proposed MOPPSO method with the chosen state-of-the-art multi-objective particle swarm optimization (MOPSO) algorithm using several benchmark datasets.
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Image analysis and flatbed scanners. A visual procedure in order to study the macro-porosity of the archaeological and historical mortars
Domenico Miriello,G. M. Crisci +1 more
TL;DR: In this paper, a low cost method that allows to identify, map and quantify the macro-porosity of mortar samples taken from the Roman hemicycle theatre in Sibari (South Italy) is described.
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Automatic vehicle identification for Argentinean license plates using intelligent template matching
TL;DR: This paper focuses on a novel approach to solving the ANPR problem for Argentinean license plates, called Intelligent Template Matching (ITM), and compares the performance obtained with other competitive approaches to robust pattern recognition (such as artificial neural networks).
Journal ArticleDOI
Segmentation of microscope images of living cells
TL;DR: The technique was tested on artificial images, based on images of living cells and on real sequences acquired from microscope observations of neutrophils and lymphocytes as well as on a sequence of MRI images, showing that the method is both effective and practical.
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The extracellular matrix protein βIG-H3 is expressed at myotendinous junctions and supports muscle cell adhesion
Jill W. Ferguson,Brian S. Thoma,Michelle F. Mikesh,Randall H. Kramer,Kelly L. Bennett,A. F. Purchio,Bradford J. Bellard,Richard G. LeBaron +7 more
TL;DR: Evidence is provided that skeletal muscle cells synthesize the collagen- and fibronectin-binding ECM protein βIG-H3 and that βIG -H3 is localized to myotendinous junctions, and that α7β1 integrin functioned as an adhesion substratum for skeletal Muscle to bone union cells.