Author: Don BragginsPublisher:
ISBN:
Category : Computers
Languages : en
Pages : 388
Book Description
The Machine Vision Sourcebook
Author: Don BragginsPublisher:
ISBN:
Category : Computers
Languages : en
Pages : 388
Book Description
The Machine Vision Sourcebook
Author: Don BragginsPublisher:
ISBN: 9780948507281
Category : Computer vision
Languages : en
Pages : 358
Book Description
The Machine Vision Sourcebook
Author: Don BragginsPublisher: Springer
ISBN: 9783540163558
Category : Computer vision
Languages : en
Pages : 358
Book Description
Machine Vision
Author: E. R. DaviesPublisher: Elsevier
ISBN: 1483275612
Category : Computers
Languages : en
Pages : 572
Book Description
Machine Vision: Theory, Algorithms, Practicalities covers the limitations, constraints, and tradeoffs of vision algorithms. This book is organized into four parts encompassing 21 chapters that tackle general topics, such as noise suppression, edge detection, principles of illumination, feature recognition, Bayes' theory, and Hough transforms. Part 1 provides research ideas on imaging and image filtering operations, thresholding techniques, edge detection, and binary shape and boundary pattern analyses. Part 2 deals with the area of intermediate-level vision, the nature of the Hough transform, shape detection, and corner location. Part 3 demonstrates some of the practical applications of the basic work previously covered in the book. This part also discusses some of the principles underlying implementation, including on lighting and hardware systems. Part 4 highlights the limitations and constraints of vision algorithms and their corresponding solutions. This book will prove useful to students with undergraduate course on vision for electronic engineering or computer science.
Practical Computer Vision Applications Using Deep Learning with CNNs
Author: Ahmed Fawzy GadPublisher: Apress
ISBN: 1484241673
Category : Computers
Languages : en
Pages : 421
Book Description
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model. After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads. This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applications Who This Book Is ForData scientists, machine learning and deep learning engineers, software developers.
Robotics Sourcebook
Author: V. Daniel HuntPublisher: Elsevier
ISBN: 0444601619
Category : Computers
Languages : en
Pages : 334
Book Description
Robotics Sourcebook provides concise, up-to-date definitions of the terms, acronyms, and abbreviations currently used in robotics. It covers industrial robots, smart robots, and military robots, as well as machine vision, laser systems, CAD/CAM/CIM, advanced manufacturing technology, production processes, bar code identification, and factories of the future. It explains how robots work, and it presents key factors in robot implementation, as well as examples of typical applications, from assembly functions and die-casting to foundry, inspection, and forging. It also analyzes the world robotics market and includes forecasts of market trends. Divided into four parts encompassing 12 chapters, this volume begins with an overview of the robotics industry and U.S. industrial performance, along with current international competitors and their markets, including Japan, Western Europe, France, Britain, and West Germany. It proceeds with a discussion of technological developments, research and development, standards, international agreements, definitions of terms, and robotics programs such as those of NASA, the National Science Foundation, U.S. Navy Robotics, and the United Kingdom. Also included is extensive reference material that contains points of contact for additional information and a detailed bibliography, plus photographs, charts, and diagrams. This book should be a useful reference source for engineers or professionals working in the field of industrial robotics.
Selected Papers on Industrial Machine Vision Systems
Author: Bruce G. BatchelorPublisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 668
Book Description
SPIE Milestones are collections of seminal papers from the world literature covering important discoveries and developments in optics and photonics.
Vision
Author: Echnology Assessment in Software Applications
Author: Harold F. O'Neil, Jr.Publisher: Routledge
ISBN: 1135442827
Category : Education
Languages : en
Pages : 297
Book Description
This volume offers an expansion of ideas presented at a recent conference convened to identify the major strategies and more promising practices for assessing technology. The authors -- representing government, business, and university sectors -- helped to set the boundaries of present technology assessment by offering perspectives from computer science, cognitive and military psychology, and education. Their work explores both the use of techniques to assess technology and the use of technology to facilitate the assessment process. The book's main purpose is to portray the state of the art in technology assessment and to provide conceptual options to help readers understand the power of technology. Technological innovation will continue to develop its own standards of practice and effectiveness. To the extent that these practices are empirically based, designers, supporters, and consumers will be given better information for their decisions.
Author: