The Vision Machine
Author | : Paul Virilio |
Publisher | : |
Total Pages | : 100 |
Release | : 1994 |
Genre | : Art |
ISBN | : 9780851704456 |
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Author | : Paul Virilio |
Publisher | : |
Total Pages | : 100 |
Release | : 1994 |
Genre | : Art |
ISBN | : 9780851704456 |
No Marketing Blurb
Author | : Paul Virilio |
Publisher | : |
Total Pages | : 100 |
Release | : 1994-08-22 |
Genre | : Art |
ISBN | : |
"Virilio offers a cool, precise look at an impending future in which reality shall simply cease to exist. Highly recommended." --Choice Surveying art history as well as the technologies of war and urban planning, one of France's leading intellectuals provides an introduction to a new "logistics of the image."
Author | : Paul Virilio |
Publisher | : |
Total Pages | : 81 |
Release | : 1994 |
Genre | : Performing Arts |
ISBN | : 9780253325747 |
"Virilio offers a cool, precise look at an impending future in which reality shall simply cease to exist. Highly recommended." -- Choice Surveying art history as well as the technologies of war and urban planning, one of France's leading intellectuals provides an introduction to a new "logistics of the image."
Author | : Carsten Steger |
Publisher | : John Wiley & Sons |
Total Pages | : 533 |
Release | : 2018-03-12 |
Genre | : Science |
ISBN | : 3527413650 |
The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong focus on applications. All examples are based on the latest version of the machine vision software HALCON 13.
Author | : Erika Balsom |
Publisher | : |
Total Pages | : 108 |
Release | : 2022-08-30 |
Genre | : Art |
ISBN | : 9788867494835 |
"Since the early 1980s, American artist and filmmaker Peggy Ahwesh has forged a distinctive moving image practice in the ruins of originality and authority ... Peggy Ahwesh: Vision Machines explores how she has extended and contested the paradigm of experimental cinema over the last four decades."--Page 4 of cover.
Author | : Muthukumaran Malarvel |
Publisher | : John Wiley & Sons |
Total Pages | : 352 |
Release | : 2021-01-15 |
Genre | : Computers |
ISBN | : 1119786118 |
Machine Vision Inspection Systems (MVIS) is a multidisciplinary research field that emphasizes image processing, machine vision and, pattern recognition for industrial applications. Inspection techniques are generally used in destructive and non-destructive evaluation industry. Now a day's the current research on machine inspection gained more popularity among various researchers, because the manual assessment of the inspection may fail and turn into false assessment due to a large number of examining while inspection process. This volume 2 covers machine learning-based approaches in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), natural language processing, medical diagnosis, etc. This edited book is designed to address various aspects of recent methodologies, concepts, and research plan out to the readers for giving more depth insights for perusing research on machine vision using machine learning-based approaches.
Author | : Sheila Anand |
Publisher | : CRC Press |
Total Pages | : 193 |
Release | : 2019-12-23 |
Genre | : Computers |
ISBN | : 1000753816 |
Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.
Author | : E. R. Davies |
Publisher | : Elsevier |
Total Pages | : 973 |
Release | : 2004-12-22 |
Genre | : Computers |
ISBN | : 0080473245 |
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need.As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems.· Includes solid, accessible coverage of 2-D and 3-D scene analysis.· Offers thorough treatment of the Hough Transform—a key technique for inspection and surveillance.· Brings vital topics and techniques together in an integrated system design approach.· Takes full account of the requirement for real-time processing in real applications.
Author | : Kye-Si Kwon |
Publisher | : John Wiley & Sons |
Total Pages | : 290 |
Release | : 2014-11-17 |
Genre | : Computers |
ISBN | : 3527684115 |
For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments. Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabling readers to quickly and efficiently use these functions for their own machine vision applications. A discussion of the concepts involved in programming the Vision Development Module rounds off the book, while example problems and exercises are included for training purposes as well as to further explain the concept of machine vision. With its step-by-step guide and clear structure, this is an essential reference for beginners and experienced researchers alike.
Author | : Wesley E. Snyder |
Publisher | : Cambridge University Press |
Total Pages | : 452 |
Release | : 2010-11-25 |
Genre | : Computers |
ISBN | : 1139489925 |
This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used in the book can be found at www.cambridge.org/9780521830461. A useful reference for practitioners, the book is aimed at graduate students in electrical engineering, computer science and mathematics.