Fundamentals Of Machine Vision
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Fundamentals Of Machine Vision
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Author : Harley R. Myler
language : en
Publisher: SPIE Press
Release Date : 1999
Fundamentals Of Machine Vision written by Harley R. Myler and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
This text is intended to help readers understand and construct machine vision systems that perform useful tasks, based on the state of the art. It covers fundamentals drawn from image processing and computer graphics to the methods of applied machine vision techniques. The text is useful as a short course supplement, as a self-study guide, or as a primary or supplementary text in an advanced undergraduate or graduate course.
Fundamentals Of Machine Vision
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Author : Myler
language : en
Publisher:
Release Date :
Fundamentals Of Machine Vision written by Myler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
A Guide For Machine Vision In Quality Control
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Author : Sheila Anand
language : en
Publisher: CRC Press
Release Date : 2019-12-10
A Guide For Machine Vision In Quality Control written by Sheila Anand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-10 with Computer vision categories.
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, a Doctorate in Computer Science, is working as Professor in the Department of Informaton Technology 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 PhD 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 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 at 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.
Fundamentals Of Computer Vision
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Author : Wesley E. Snyder
language : en
Publisher: Cambridge University Press
Release Date : 2017-09-28
Fundamentals Of Computer Vision written by Wesley E. Snyder and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with Computers categories.
This book equips students with crucial mathematical and algorithmic tools to understand complete computer vision systems.
Computer Vision And Image Processing
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Author : Manas Kamal Bhuyan
language : en
Publisher: CRC Press
Release Date : 2019-11-05
Computer Vision And Image Processing written by Manas Kamal Bhuyan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Computers categories.
The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.
Fundamentals Of Machine Learning Artificial Intelligence
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Author : Dr. Abdul Rahiman Sheik
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-07-07
Fundamentals Of Machine Learning Artificial Intelligence written by Dr. Abdul Rahiman Sheik and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-07 with Study Aids categories.
An upcoming game-changing technology that is disrupting the digital & computer technology age is artificial intelligence (AI). The whole of the information technology industry has adopted the use of machine learning & artificial algorithms in order to automate processes and provide robust outcomes. This book will familiarize you with the fundamental concepts and important phrases of the area of computer science that is seeing the most rapid expansion, as well as: An explanation of the many methods and algorithms that are utilized in machine learning, including why & how they are used as well as the tools that are necessary. Where to get data, which languages are most suited for machine learning, and what kinds of technologies are available to assist you with your task. This book provides an introduction to the foundations of contemporary artificial intelligence (AI), as well as coverage of recent developments in AI, such as Automated Planning, Information Retrieval, Intelligent Agents, Natural Language and Speech Processing, and Machine Vision. A short historical background can be found at the beginning of each chapter. This book explains, in terminology that is easy to understand, almost all of the components of artificial intelligence, including problem solving, search strategies, knowledge concepts, expert systems, and many more.
Handbook Of Industrial Automation
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Author : Richard Shell
language : en
Publisher: CRC Press
Release Date : 2000-08-29
Handbook Of Industrial Automation written by Richard Shell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-29 with Business & Economics categories.
Supplies the most essential concepts and methods necessary to capitalize on the innovations of industrial automation, including mathematical fundamentals, ergonometrics, industrial robotics, government safety regulations, and economic analyses.
Machine Learning Fundamentals
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Author : Hui Jiang
language : en
Publisher: Cambridge University Press
Release Date : 2021-11-25
Machine Learning Fundamentals written by Hui Jiang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-25 with Computers categories.
This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.
Tutorial 2
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Author : Valerie Bolhouse
language : en
Publisher:
Release Date : 1991
Tutorial 2 written by Valerie Bolhouse and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computer vision categories.
Fundamentals Of Machine Vision
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Author :
language : en
Publisher:
Release Date : 2015
Fundamentals Of Machine Vision written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computer vision categories.