A Guide for Machine Vision in Quality Control (Record no. 127589)

000 -LEADER
fixed length control field 07363cam a2200541Mu 4500
001 - CONTROL NUMBER
control field 9781003002826
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509192957.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200104s2019 xx o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000753813
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000753816
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003002826
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 100300282X
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000753950
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000753956
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000754094
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 100075409X
-- (electronic bk. : EPUB)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1134855331
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1134855331
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 012040
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 059000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 015000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UY
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Anand, Sheila.
245 12 - TITLE STATEMENT
Title A Guide for Machine Vision in Quality Control
Medium [electronic resource].
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Milton :
Name of publisher, distributor, etc CRC Press LLC,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (193 p.)
500 ## - GENERAL NOTE
General note Description based upon print version of record.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Authors -- 1: Computer and Human Vision Systems -- 1.1 The Human Eye -- 1.2 Computer versus Human Vision Systems -- 1.3 Evolution of Computer Vision -- 1.4 Computer/Machine Vision and Image Processing -- 1.5 Applications of Computer Vision -- 1.6 Summary -- Exercises -- 2: Digital Image Fundamentals -- 2.1 Digital Image -- 2.2 Monochrome and Color Images -- 2.3 Image Brightness and Contrast -- 2.4 2D, 3D, and 4D Images -- 2.5 Digital Image Representation -- 2.6 Digital Image File Formats
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.7 Fundamental Image Operations -- 2.7.1 Points, Edges, and Vertices -- 2.7.2 Point Operations -- 2.7.3 Thresholding -- 2.7.4 Brightness -- 2.7.5 Geometric Transformations -- 2.7.6 Spatial Transformation -- 2.7.7 Affine Transformation -- 2.7.8 Image Interpolation -- 2.7.8.1 Nearest-Neighbor Interpolation -- 2.7.8.2 Bilinear Interpolation -- 2.7.8.3 Bicubic Interpolation -- 2.8 Fundamental Steps in Digital Image Processing -- 2.9 Summary -- Exercises -- 3: Machine Vision System Components -- 3.1 Machine Vision System -- 3.2 Machine Vision Camera -- 3.2.1 CCD and CMOS Image Sensors
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.2.2 TDI Sensor -- 3.2.3 Camera Type -- 3.2.3.1 Area Scan Cameras -- 3.2.3.2 Line Scan Cameras -- 3.2.3.3 Smart Cameras -- 3.2.4 Camera Lens -- 3.2.4.1 Resolution, Contrast, and Sharpness -- 3.3 Lenses and Their Parameters -- 3.3.1 Types of Lenses -- 3.3.2 Lens Mounts -- 3.3.3 Lens Selection Examples -- 3.3.3.1 Field of View (Image Size) Is Much Larger Than Camera Sensor Size -- 3.3.3.2 Field of View Is Smaller or Close to Camera Sensor Size -- 3.4 Machine Vision Lighting -- 3.4.1 Light Sources in Machine Vision -- 3.4.2 Illumination Techniques -- 3.4.2.1 BackLighting -- 3.4.2.2 FrontLighting
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.4.2.3 Diffused Lighting -- 3.4.2.4 Oblique Lighting -- 3.4.2.5 Dark Field Lighting -- 3.4.2.6 Infrared and Ultraviolet Light -- 3.4.3 Illumination Summary -- 3.5 Filters -- 3.6 Machine Vision Software -- 3.6.1 Integration and Compatibility -- 3.6.2 Ease of Use and Cost to Operate -- 3.6.3 Vendor Support and Stability -- 3.7 Machine Vision Automation -- 3.8 Integration of Machine Vision Components -- 3.9 Summary -- Exercises -- 4: Machine Vision Applications in Quality Control -- 4.1 Overview of Quality Control -- 4.2 Quality Inspection and Machine Vision -- 4.3 Designing a Machine Vision System
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.4 Machine Vision Systems in Industry -- 4.5 Categorization of Machine Vision Solutions -- 4.5.1 Dimensional Measurement -- 4.5.1.1 Dimensional Measurement of Oil Seal -- 4.5.1.2 Dimensional Measurement of Reed Valve -- 4.5.2 Presence/Absence Inspection -- 4.5.2.1 Blister Pack Inspection -- 4.5.2.2 Bottle Cap Inspection -- 4.5.3 Character Inspection -- 4.5.3.1 Label and Barcode Inspection -- 4.5.3.2 Drug Pack Inspection -- 4.5.4 Profile Inspection -- 4.5.4.1 Profile Inspection of Spline Gear -- 4.5.4.2 Profile Inspection for Packaging Integrity -- 4.5.5 Surface Inspection -- 4.5.6 Robot Guidance
500 ## - GENERAL NOTE
General note 4.6 Summary
520 ## - SUMMARY, ETC.
Summary, etc 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.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Computer Graphics / Game Programming & Design
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Computer Engineering
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY / Imaging Systems
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Priya, L.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781003002826
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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