Author: Bruce G. BatchelorPublisher:
ISBN:
Category : Computers
Languages : en
Pages : 440
Book Description
Machine Vision Architectures, Integration, and Applications
Author: Bruce G. BatchelorPublisher:
ISBN:
Category : Computers
Languages : en
Pages : 440
Book Description
Machine Vision
Author: Rutgers University. Center for Computer Aids for Industrial ProductivityPublisher:
ISBN:
Category : Computers
Languages : en
Pages : 338
Book Description
Machine Vision Applications, Architectures, and Systems Integration
Author: Intelligent Machine Vision
Author: Bruce BatchelorPublisher: Springer Science & Business Media
ISBN: 1447102398
Category : Computers
Languages : en
Pages : 437
Book Description
A number of important aspects of intelligent machine vision in one volume, describing the state of the art and current developments in the field, including: fundamentals of 'intelligent'image processing for machine vision systems; algorithm optimisation; implementation in high-speed electronic digital hardware; implementation in an integrated high-level software environment and applications for industrial product quality and process control. Backed by numerous illustrations, created using the authors IP software, this book will be of interest to researchers in the field of machine vision wishing to understand the discipline and develop new techniques. Also useful for under- and postgraduates.
Design for Embedded Image Processing on FPGAs
Author: Donald G. BaileyPublisher: John Wiley & Sons
ISBN: 0470828528
Category : Technology & Engineering
Languages : en
Pages : 503
Book Description
Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications he has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. Provides a bridge between algorithms and hardware Demonstrates how to avoid many of the potential pitfalls Offers practical recommendations and solutions Illustrates several real-world applications and case studies Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic vision, as well as FPGA developers and application engineers. The book can also be used by graduate students studying imaging systems, computer engineering, digital design, circuit design, or computer science. It can also be used as supplementary text for courses in advanced digital design, algorithm and hardware implementation, and digital signal processing and applications. Companion website for the book: www.wiley.com/go/bailey/fpga
Intelligent Vision Systems for Industry
Author: Bruce G. BatchelorPublisher: Springer Science & Business Media
ISBN: 1447104315
Category : Computers
Languages : en
Pages : 475
Book Description
The application of intelligent imaging techniques to industrial vision problems is an evolving aspect of current machine vision research. Machine vision is a relatively new technology, more concerned with systems engineering than with computer science, and with much to offer the manufacturing industry in terms of improving efficiency, safety and product quality. Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Sections cover the application of AI languages such as Prolog, the use of multi-media interfaces and multi-processor systems, external device control, and colour recognition. The text concludes with a discussion of several case studies that illustrate how intelligent machine vision techniques can be used in industrial applications.
Image Technology
Author: Jorge L.C. SanzPublisher: Springer Science & Business Media
ISBN: 3642582885
Category : Computers
Languages : en
Pages : 758
Book Description
Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.
Algorithms of Intelligence: Exploring the World of Machine Learning
Author: Dr R. KeerthikaPublisher: Inkbound Publishers
ISBN: 8196822340
Category : Computers
Languages : en
Pages : 224
Book Description
Delve into the fascinating world of machine learning with this comprehensive guide, which unpacks the algorithms driving today's intelligent systems. From foundational concepts to advanced applications, this book is essential for anyone looking to understand the mechanics behind AI.
Robotic Vision: Technologies for Machine Learning and Vision Applications
Author: Garcia-Rodriguez, JosePublisher: IGI Global
ISBN: 1466627034
Category : Technology & Engineering
Languages : en
Pages : 535
Book Description
Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.
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