Image Acquisition and Preprocessing for Machine Vision Systems
Image Acquisition and Preprocessing for Machine Vision Systems

Author: Pradip K. Sinha

Publisher: SPIE-International Society for Optical Engineering

Published: 2012

Total Pages: 0

ISBN-13: 9780819482020

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Machine vision comprises three integrated processes: acquisition, preprocessing, and image analysis. While many resources discuss application-specific image analysis, there has been no unified account of image acquisition hardware and preprocessing - until now. This is a comprehensive, exhaustive reference text detailing every aspect of acquisition and preprocessing, from the illumination of a scene to the optics of image forming, from CCD and CMOS image capture to the transformation of the captured image.

Introduction to Image Acquisition and Display Technologies
Introduction to Image Acquisition and Display Technologies

Author: Ichiro Fujieda

Publisher: CRC Press

Published: 2023-07-14

Total Pages: 181

ISBN-13: 1000900991

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• Readers will gain an understanding of the optical technology, material science, and semiconductor device technology behind image acquisition devices • Research on image information is stable but slowly growing and several universities globally teach related courses for which this is valuable supplementary reading • This book offers a unique focus on the devices used in image sensors and displays

Image Acquisition
Image Acquisition

Author: M.W. Burke

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 959

ISBN-13: 9400900694

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MV engineering is a truly multidisciplinary area and perhaps because of this, it is plagued with imprecise jargon. This book attempts to collect the fundamental concepts into a single, well-integrated, self-consistent exposition that will serve as a relatively painless introduction to the field of MV Engineering. The ultimate goal is an enlightened practitioner capable of using this powerful new technology effectively.

Image Acquisition and Processing with LabVIEW
Image Acquisition and Processing with LabVIEW

Author: Christopher G. Relf

Publisher: CRC Press

Published: 2003-07-28

Total Pages: 264

ISBN-13: 0203487303

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Image Acquisition and Processing With LabVIEWä combines the general theory of image acquisition and processing, the underpinnings of LabVIEW and the NI Vision toolkit, examples of their applications, and real-world case studies in a clear, systematic, and richly illustrated presentation. Designed for LabVIEW programmers, it fills a significant gap in the technical literature by providing a general training manual for those new to National Instruments (NI) Vision application development and a reference for more experienced vision programmers. The downloadable resources contain libraries of the example images and code referenced in the text, additional technical white papers, a demonstration version of LabVIEW 6.0, and an NI IMAQ demonstration that guides you through its features. System Requirements: Using the code provided on the downloadable resources requires LabVIEW 6.1 or higher and LabVIEW Vision Toolkit 6.1 or higher. Some of the examples also require IMAQ Vision Builder 6.1 or higher, the IMAQ OCR toolkit, and IMAQ 1394 drivers.

Image Processing and Acquisition using Python
Image Processing and Acquisition using Python

Author: Ravishankar Chityala

Publisher: CRC Press

Published: 2014-02-19

Total Pages: 392

ISBN-13: 1466583754

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Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing—one of the first books to integrate these topics together. By improving readers’ knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The last part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry.

Digital Mammography
Digital Mammography

Author: Etta D. Pisano

Publisher: Lippincott Williams & Wilkins

Published: 2004

Total Pages: 24

ISBN-13: 0781741424

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Bogen er en grundlæggende lærebog om digital mammografi, hvori digital mammografi og traditionel mammografi også sammenlignes i forhold til screening, diagnoser og radiografisk billedteknik. Der er en komplet billedsamling af cases indenfor digital mammografi.

Practical Image Processing in C
Practical Image Processing in C

Author: Craig A. Lindley

Publisher: Wiley-Interscience

Published: 1991-01-16

Total Pages: 592

ISBN-13:

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The video digitizer project. Classical image processing. Additional information.

Advanced Image Acquisition, Processing Techniques and Applications
Advanced Image Acquisition, Processing Techniques and Applications

Author: Dimitrios Ventzas

Publisher: BoD – Books on Demand

Published: 2012-03-14

Total Pages: 182

ISBN-13: 9535103423

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"Advanced Image Acquisition, Processing Techniques and Applications" is the first book of a series that provides image processing principles and practical software implementation on a broad range of applications. The book integrates material from leading researchers on Applied Digital Image Acquisition and Processing. An important feature of the book is its emphasis on software tools and scientific computing in order to enhance results and arrive at problem solution.

Processing Medical Thermal Images
Processing Medical Thermal Images

Author: Robert Koprowski

Publisher: Springer

Published: 2017-07-11

Total Pages: 154

ISBN-13: 3319613405

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The book presents automatic and reproducible methods for the analysis of medical infrared images. All methods highlighted here have been practically implemented in Matlab, and the source code is presented and discussed in detail. Further, all methods have been verified with medical specialists, making the book an ideal resource for all IT specialists, bioengineers and physicians who wish to broaden their knowledge of tailored methods for medical infrared image analysis and processing.

Single-Sensor Imaging
Single-Sensor Imaging

Author: Rastislav Lukac

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 600

ISBN-13: 1420054538

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A Decade of Extraordinary Growth The past decade has brought a surge of growth in the technologies for digital color imaging, multidimensional signal processing, and visual scene analysis. These advances have been crucial to developing new camera-driven applications and commercial products in digital photography. Single-Sensor Imaging: Methods and Applications for Digital Cameras embraces this extraordinary progress, comprehensively covering state-of-the-art systems, processing techniques, and emerging applications. Experts Address Challenges and Trends Single-Sensor Imaging: Methods and Applications for Digital Cameras presents leading experts elucidating their own accomplishments in developing the technologies reshaping this field. The editor invited renowned authorities to address specific research challenges and recent trends in their particular areas of expertise. The book discusses single-sensor digital color imaging fundamentals, including reusable embedded software platform, digital camera image processing chain, optical filter and color filter array designs. It also details the latest techniques and approaches in contemporary and traditional digital camera color image processing and analysis for various sophisticated applications, including: Demosaicking and color restoration White balancing and color transfer Color and exposure correction Image denoising and color enhancement Image compression and storage formats Red-eye detection and removal Image resizing Video-demosaicking and superresolution imaging Image and video stabilization A Solid Foundation of Knowledge to Solve Problems Single-Sensor Imaging: Methods and Applications for Digital Cameras builds a strong fundamental understanding of theory and methods for solving many of today’s most interesting and challenging problems in digital color image and video acquisition, analysis, processing, and storage. A broad survey of the existing solutions and relevant literature makes this book a valuable resource both for researchers and those applying rapidly evolving digital camera technologies.