Modelling of the Effects of Entrainment Defects on Mechanical Properties in Al-Si-Mg Alloy Castings
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Management of Large Sets of Image Data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak
Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak Download free books at Karol Kozak Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Download free eBooks at bookboon.com 2 Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization 1st edition © 2014 Karol Kozak & bookboon.com ISBN 978-87-403-0726-9 Download free eBooks at bookboon.com 3 Management of large sets of image data Contents Contents 1 Digital image 6 2 History of digital imaging 10 3 Amount of produced images – is it danger? 18 4 Digital image and privacy 20 5 Digital cameras 27 5.1 Methods of image capture 31 6 Image formats 33 7 Image Metadata – data about data 39 8 Interactive visualization (IV) 44 9 Basic of image processing 49 Download free eBooks at bookboon.com 4 Click on the ad to read more Management of large sets of image data Contents 10 Image Processing software 62 11 Image management and image databases 79 12 Operating system (os) and images 97 13 Graphics processing unit (GPU) 100 14 Storage and archive 101 15 Images in different disciplines 109 15.1 Microscopy 109 360° 15.2 Medical imaging 114 15.3 Astronomical images 117 15.4 Industrial imaging 360° 118 thinking. 16 Selection of best digital images 120 References: thinking. 124 360° thinking . 360° thinking. Discover the truth at www.deloitte.ca/careers Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. -
Aphelion) 25/02/04 16:20 Page 1
SORTIE (Aphelion) 25/02/04 16:20 Page 1 Aphelion™ IMAGE PROCESSING AND IMAGE ANALYSIS SOFTWARE TO FACE NEW CHALLENGES ORGANIZATIONS ALREADY USING APHELION™ 3M (USA) Halliburton (USA) Procter & Gamble (USA & Europe) Arcelor (Europe) Hewlett-Packard (UK) Queen’s College (UK) Boeing Aerospace (USA) Hitachi (Japan) Rolls Royce (UK) CEA (France) Hoya (Japan) SNECMA Moteurs (France) CNRS (France) Joint Research Center (Europe) Thales (France) CSIRO (Australia) Kawasaki Heavy Industry (Japan) Toshiba (Japan) Corning (France) Kodak Industrie (France) Université de Lausanne (Switzerland) Dako (USA) Lilly (USA) Université de Liège (Belgium) Dornier (Germany) Lockheed Martin (USA) University of Massachusetts (USA) EADS (France) Mitsubishi (Japan) Unilever (UK) Ecole de Technologie Supérieure (Canada) Nikon (Japan) US Navy (USA) FedEx (USA) Nissan (Japan) Volvo Aero Corporation (Sweden) FAO, Defence Research Establishment (Sweden) Pechiney (France) Xerox (USA) Ford (USA) Peugeot-Citroën (France) Framatome (France) Philips (France) Aphelion IMAGE PROCESSING IMAGE PROCESSING AND IMAGE ANALYSIS SOFTWARE TO FACE NEW CHALLENGE AND IMAGE ANALYSIS SOFTWARE TO FACE NEW CHALLENGES PRODUCT DISTRIBUTION Licensing: Single-user license & site license for end-users Run-time licenses for OEMs Downloadable from web Standard package: APHELION™ Developer includes all the standard libraries available as DLLs & ActiveX components, development capabilities, and the graphical user interface BIOLOGY / COSMETICS / GEOLOGY INSPECTION / MATERIALS SCIENCE Optional modules: 3D Image Processing METROLOGY 3D Image Display OBJECT RECOGNITION Recognition Toolkit VisionTutor, a computer vision course including extensive exercises PHARMACOLOGY / QUALITY CONTROL / REMOTE SENSING / ROBOTICS Interface to a wide variety of frame grabber boards SECURITY / TRACKING Twain interface to control scanners and digital cameras Video media interface Interface to control microscope stages ActiveX components: Extensive Image Processing libraries for automated applications. -
A Journey of Exploration to the Polar Regions of a Star: Probing the Solar
Experimental Astronomy manuscript No. (will be inserted by the editor) A journey of exploration to the polar regions of a star: probing the solar poles and the heliosphere from high helio-latitude Louise Harra · Vincenzo Andretta · Thierry Appourchaux · Fr´ed´eric Baudin · Luis Bellot-Rubio · Aaron C. Birch · Patrick Boumier · Robert H. Cameron · Matts Carlsson · Thierry Corbard · Jackie Davies · Andrew Fazakerley · Silvano Fineschi · Wolfgang Finsterle · Laurent Gizon · Richard Harrison · Donald M. Hassler · John Leibacher · Paulett Liewer · Malcolm Macdonald · Milan Maksimovic · Neil Murphy · Giampiero Naletto · Giuseppina Nigro · Christopher Owen · Valent´ın Mart´ınez-Pillet · Pierre Rochus · Marco Romoli · Takashi Sekii · Daniele Spadaro · Astrid Veronig · W. Schmutz Received: date / Accepted: date L. Harra PMOD/WRC, Dorfstrasse 33, CH-7260 Davos Dorf and ETH-Z¨urich, Z¨urich, Switzerland E-mail: [email protected]; ORCID: 0000-0001-9457-6200 V. Andretta INAF, Osservatorio Astronomico di Capodimonte, Naples, Italy E-mail: vin- [email protected]; ORCID: 0000-0003-1962-9741 T. Appourchaux Institut d’Astrophysique Spatiale, CNRS, Universit´e Paris–Saclay, France; E-mail: [email protected]; ORCID: 0000-0002-1790-1951 F. Baudin Institut d’Astrophysique Spatiale, CNRS, Universit´e Paris–Saclay, France; E-mail: [email protected]; ORCID: 0000-0001-6213-6382 L. Bellot Rubio Inst. de Astrofisica de Andaluc´ıa, Granada Spain A.C. Birch Max-Planck-Institut f¨ur Sonnensystemforschung, 37077 G¨ottingen, Germany; E-mail: arXiv:2104.10876v1 [astro-ph.SR] 22 Apr 2021 [email protected]; ORCID: 0000-0001-6612-3861 P. Boumier Institut d’Astrophysique Spatiale, CNRS, Universit´e Paris–Saclay, France; E-mail: 2 Louise Harra et al. -
An Introduction to Image Analysis Using Imagej
An introduction to image analysis using ImageJ Mark Willett, Imaging and Microscopy Centre, Biological Sciences, University of Southampton. Pete Johnson, Biophotonics lab, Institute for Life Sciences University of Southampton. 1 “Raw Images, regardless of their aesthetics, are generally qualitative and therefore may have limited scientific use”. “We may need to apply quantitative methods to extrapolate meaningful information from images”. 2 Examples of statistics that can be extracted from image sets . Intensities (FRET, channel intensity ratios, target expression levels, phosphorylation etc). Object counts e.g. Number of cells or intracellular foci in an image. Branch counts and orientations in branching structures. Polarisations and directionality . Colocalisation of markers between channels that may be suggestive of structure or multiple target interactions. Object Clustering . Object Tracking in live imaging data. 3 Regardless of the image analysis software package or code that you use….. • ImageJ, Fiji, Matlab, Volocity and IMARIS apps. • Java and Python coding languages. ….image analysis comprises of a workflow of predefined functions which can be native, user programmed, downloaded as plugins or even used between apps. This is much like a flow diagram or computer code. 4 Here’s one example of an image analysis workflow: Apply ROI Choose Make Acquisition Processing to original measurement measurements image type(s) Thresholding Save to ROI manager Make binary mask Make ROI from binary using “Create selection” Calculate x̄, Repeat n Chart data SD, TTEST times and interpret and Δ 5 A few example Functions that can inserted into an image analysis workflow. You can mix and match them to achieve the analysis that you want. -
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PI' 'CIP/\I Ui" CHf: MOUNT 111,[,T,;o1\[ WI':ST,'!':'{J\]\I ACADEMY, fIAUfrVILT,E, Ni:':W IJKUNEtWlC'R. THE PROVIN.CIAL WESLEYAN AL ANACK, 1880: Containing all necessary Astronomical Calculation~; p.. ep~red with ~rQat care for this special ohject; toge~her with a large amount of General Intelligence, Railway, Telegraph and POBt Office Regulations, Religious Statistical Iuformation, with many other matters of PUBLIC AND PROVINCIAL INTEREST, INCLUDING A. HALIFAX BUSINESS CITY DIRECTORY. Prepared expressly for this work; maki-ng it well calcl\latcd for a large circulation as a popular and useful VOLUME II. .iJALIFAX, N. S: PUBLISHED UNDER THE SAN"CTION OF THE EASTERN BRITISH A~lERICAN CONFERENCE. 2 rROVINCIAL WESLEYAN PREFACE. TIIE Publishers of the" Provincial Wesleyan Al.manack" cannot omit the opportunity (in publishing the second yolume) of thanking the public for the very cordial reception givcn to their publication of last year. The most encouraging testimonials have been received from every quarter approving their labors,-a most gratifying proof of which was found in the rapid sale of this Annual last year-the whole edition being exhausted in two months from first· date of issue. A discerning public ,,-ill perceive in evcry page of the present volume the evidences of thought and labor, with a laudable anxiety to secure general approbation. The arrangement of the different departments will be fouud much more complete-a great deal of new matter, not llitherto fOlmd in such a publication, has b.een introduced. Eyery portion has been most carefully revised up to the date of publication. -
Bio-Formats Documentation Release 4.4.9
Bio-Formats Documentation Release 4.4.9 The Open Microscopy Environment October 15, 2013 CONTENTS I About Bio-Formats 2 1 Why Java? 4 2 Bio-Formats metadata processing 5 3 Help 6 3.1 Reporting a bug ................................................... 6 3.2 Troubleshooting ................................................... 7 4 Bio-Formats versions 9 4.1 Version history .................................................... 9 II User Information 23 5 Using Bio-Formats with ImageJ and Fiji 24 5.1 ImageJ ........................................................ 24 5.2 Fiji .......................................................... 25 5.3 Bio-Formats features in ImageJ and Fiji ....................................... 26 5.4 Installing Bio-Formats in ImageJ .......................................... 26 5.5 Using Bio-Formats to load images into ImageJ ................................... 28 5.6 Managing memory in ImageJ/Fiji using Bio-Formats ................................ 32 5.7 Upgrading the Bio-Formats importer for ImageJ to the latest trunk build ...................... 34 6 OMERO 39 7 Image server applications 40 7.1 BISQUE ....................................................... 40 7.2 OME Server ..................................................... 40 8 Libraries and scripting applications 43 8.1 Command line tools ................................................. 43 8.2 FARSIGHT ...................................................... 44 8.3 i3dcore ........................................................ 44 8.4 ImgLib ....................................................... -
Medical Image Processing Software
Wohlers Report 2018 Medical Image Processing Software Medical image Patient-specific medical devices and anatomical models are almost always produced using radiological imaging data. Medical image processing processing software is used to translate between radiology file formats and various software AM file formats. Theoretically, any volumetric radiological imaging dataset by Andy Christensen could be used to create these devices and models. However, without high- and Nicole Wake quality medical image data, the output from AM can be less than ideal. In this field, the old adage of “garbage in, garbage out” definitely applies. Due to the relative ease of image post-processing, computed tomography (CT) is the usual method for imaging bone structures and contrast- enhanced vasculature. In the dental field and for oral- and maxillofacial surgery, in-office cone-beam computed tomography (CBCT) has become popular. Another popular imaging technique that can be used to create anatomical models is magnetic resonance imaging (MRI). MRI is less useful for bone imaging, but its excellent soft tissue contrast makes it useful for soft tissue structures, solid organs, and cancerous lesions. Computed tomography: CT uses many X-ray projections through a subject to computationally reconstruct a cross-sectional image. As with traditional 2D X-ray imaging, a narrow X-ray beam is directed to pass through the subject and project onto an opposing detector. To create a cross-sectional image, the X-ray source and detector rotate around a stationary subject and acquire images at a number of angles. An image of the cross-section is then computed from these projections in a post-processing step. -
Avizo Software for Industrial Inspection
Avizo Software for Industrial Inspection Digital inspection and materials analysis Digital workflow Thermo Scientific™ Avizo™ Software provides a comprehensive set of tools addressing the whole research-to-production cycle: from materials research in off-line labs to automated quality control in production environments. 3D image data acquisition Whatever the part or material you need to inspect, using © RX Solutions X-ray CT, radiography, or microscopy, Avizo Software is the solution of choice for materials characterization and defect Image processing detection in a wide range of areas (additive manufacturing, aerospace, automotive, casting, electronics, food, manufacturing) and for many types of materials (fibrous, porous, metals and alloys, ceramics, composites and polymers). Avizo Software also provides dimensional metrology with Visual inspection Dimensional metrology Material characterization advanced measurements; an extensive set of programmable & defect analysis automated analysis workflows (recipes); reporting and traceability; actual/nominal comparison by integrating CAD models; and a fully automated in-line inspection framework. With Avizo Software, reduce your design cycle, inspection times, and meet higher-level quality standards at a lower cost. + Creation and automation of inspection and analysis workflows + Full in-line integration Reporting & traceability On the cover: Porosity analysis and dimensional metrology on compressor housing. Data courtesy of CyXplus 2 3 Avizo Software for Industrial Inspection Learn more at thermofisher.com/amira-avizo Integrating expertise acquired over more than 10 years and developed in collaboration with major industrial partners in the aerospace, Porosity analysis automotive, and consumer goods industries, Avizo Software allows Imaging techniques such as CT, FIB-SEM, SEM, and TEM, allow detection of structural defects in the to visualize, analyze, measure and inspect parts and materials. -
Respiratory Adaptation to Climate in Modern Humans and Upper Palaeolithic Individuals from Sungir and Mladeč Ekaterina Stansfeld1*, Philipp Mitteroecker1, Sergey Y
www.nature.com/scientificreports OPEN Respiratory adaptation to climate in modern humans and Upper Palaeolithic individuals from Sungir and Mladeč Ekaterina Stansfeld1*, Philipp Mitteroecker1, Sergey Y. Vasilyev2, Sergey Vasilyev3 & Lauren N. Butaric4 As our human ancestors migrated into Eurasia, they faced a considerably harsher climate, but the extent to which human cranial morphology has adapted to this climate is still debated. In particular, it remains unclear when such facial adaptations arose in human populations. Here, we explore climate-associated features of face shape in a worldwide modern human sample using 3D geometric morphometrics and a novel application of reduced rank regression. Based on these data, we assess climate adaptations in two crucial Upper Palaeolithic human fossils, Sungir and Mladeč, associated with a boreal-to-temperate climate. We found several aspects of facial shape, especially the relative dimensions of the external nose, internal nose and maxillary sinuses, that are strongly associated with temperature and humidity, even after accounting for autocorrelation due to geographical proximity of populations. For these features, both fossils revealed adaptations to a dry environment, with Sungir being strongly associated with cold temperatures and Mladeč with warm-to-hot temperatures. These results suggest relatively quick adaptative rates of facial morphology in Upper Palaeolithic Europe. Te presence and the nature of climate adaptation in modern humans is a highly debated question, and not much is known about the speed with which these adaptations emerge. Previous studies demonstrated that the facial morphology of recent modern human groups has likely been infuenced by adaptation to cold and dry climates1–9. Although the age and rate of such adaptations have not been assessed, several lines of evidence indicate that early modern humans faced variable and sometimes harsh environments of the Marine Isotope Stage 3 (MIS3) as they settled in Europe 40,000 years BC 10. -
3D Medical Image Segmentation in Virtual Reality
3D Medical Image Segmentation in Virtual Reality Shea B. Yonker, Oleksandr O. Korshak, Timothy Hedstrom, Alexander Wu, Siddharth Atre, Jürgen P. Schulze University of California San Diego, La Jolla, CA Abstract inside, all by using their hands like they would in the real world. The possible achievements of accurate and intuitive 3D In fact, our application goes beyond simulating what one could image segmentation are endless. For our specific research, we do in the real world by allowing the user to reach into the data aim to give doctors around the world, regardless of their set as if it is a hologram. computer knowledge, a virtual reality (VR) 3D image Finally, to more particularly examine one aspect of the segmentation tool which allows medical professionals to better data, our program allows for segmentation of this 3D image. For visualize their patients' data sets, thus attaining the best humans, looking at an image and deciphering foreground vs. understanding of their respective conditions. background is in most cases trivial. Whereas for computers, it We implemented an intuitive virtual reality interface that can be one of the most difficult and computationally taxing can accurately display MRI and CT scans and quickly and problems. For this reason, we will introduce several precisely segment 3D images, offering two different segmentation solutions, each of which is tailored to a specific segmentation algorithms. Simply put, our application must be application of medical imaging. able to fit into even the most busy and practiced physicians' workdays while providing them with a new tool, the likes of Related Work which they have never seen before. -
Anastasia Tyurina [email protected]
1 Anastasia Tyurina [email protected] Summary A specialist in applying or creating mathematical methods to solving problems of developing technologies. A rare expert in solving problems starting from the stage of a stated “word problem” to proof of concept and production software development. Such successful uses of an educational background in mathematics, intellectual courage, and tenacious character include: • developed a unique method of statistical analysis of spectral composition in 1D and 2D stochastic processes for quality control in ultra-precision mirror polishing • developed novel methods of detection, tracking and classification of small moving targets for aerial IR and EO sensors. Used SIFT, and SIRF features, and developed innovative feature-signatures of motion of interest. • developed image processing software for bioinformatics, point source (diffraction objects) detection semiconductor metrology, electron microscopy, failure analysis, diagnostics, system hardware support and pattern recognition • developed statistical software for surface metrology assessment, characterization and generation of statistically similar surfaces to assist development of new optical systems • documented, published and patented original results helping employers technical communications • supported sales with prototypes and presentations • worked well with people – colleagues, customers, researchers, scientists, engineers Tools MATLAB, Octave, OpenCV, ImageJ, Scion Image, Aphelion Image, Gimp, PhotoShop, C/C++, (Visual C environment), GNU development tools, UNIX (Solaris, SGI IRIX), Linux, Windows, MS DOS. Positions and Experience Second Star Algonumerixs – 2008-present, founder and CEO http://www.secondstaralgonumerix.com/ 1) Developed a method of statistical assessment, characterisation and generation of random surface metrology for sper precision X-ray mirror manufacturing in collaboration with Lawrence Berkeley National Laboratory of University of California Berkeley. -
Abstract Volume
T I I II I II I I I rl I Abstract Volume LPI LPI Contribution No. 1097 II I II III I • • WORKSHOP ON MERCURY: SPACE ENVIRONMENT, SURFACE, AND INTERIOR The Field Museum Chicago, Illinois October 4-5, 2001 Conveners Mark Robinbson, Northwestern University G. Jeffrey Taylor, University of Hawai'i Sponsored by Lunar and Planetary Institute The Field Museum National Aeronautics and Space Administration Lunar and Planetary Institute 3600 Bay Area Boulevard Houston TX 77058-1113 LPI Contribution No. 1097 Compiled in 2001 by LUNAR AND PLANETARY INSTITUTE The Institute is operated by the Universities Space Research Association under Contract No. NASW-4574 with the National Aeronautics and Space Administration. Material in this volume may be copied without restraint for library, abstract service, education, or personal research purposes; however, republication of any paper or portion thereof requires the written permission of the authors as well as the appropriate acknowledgment of this publication .... This volume may be cited as Author A. B. (2001)Title of abstract. In Workshop on Mercury: Space Environment, Surface, and Interior, p. xx. LPI Contribution No. 1097, Lunar and Planetary Institute, Houston. This report is distributed by ORDER DEPARTMENT Lunar and Planetary institute 3600 Bay Area Boulevard Houston TX 77058-1113, USA Phone: 281-486-2172 Fax: 281-486-2186 E-mail: order@lpi:usra.edu Please contact the Order Department for ordering information, i,-J_,.,,,-_r ,_,,,,.r pA<.><--.,// ,: Mercury Workshop 2001 iii / jaO/ Preface This volume contains abstracts that have been accepted for presentation at the Workshop on Mercury: Space Environment, Surface, and Interior, October 4-5, 2001.