Practical Guide to Machine Vision Software

Kye-Si Kwon is an associate professor at Soonchunhyang University in Korea in the department of mechanical engineering. After his PhD, obtained from KAIST, Korea, in 1999, he was a member of research staffs in companies such as Samsung and LG electronics. He joined Soonchunhyang University in 2006 where his teaching and research is centered on inkjet-related measurement methods and system developments. In 2012, he spent one year at Palo Alto Research Center (PARC) in Palo Alto, California, as a visiting researcher. He also established a start-up company and is CEO of PS. Co. Ltd (psolution.kr).
 
Steven Ready joined the Palo Alto Research Center more than two decades ago, where he designed and developed several high-accuracy inkjet printers for printed organic electronics and documents; studied the role of hydrogen in amorphous, polycrystalline, and crystalline silicon and associated applications; and contributed to the development of large-area amorphous and polycrystalline silicon arrays for optical and x-ray imaging, displays, and organic semiconductor materials and devices. Steven Ready has also made significant contributions to developing laser crystallization of silicon thin films; a fragile book scanner; control software for MOCVD reactors; and a scanning tunneling microscope. He is a member of the SPIE, MRS, and IS&T professional societies. He obtained his degree in Physics from the University of California at Santa Cruz.

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.

With its step-by-step, clear structure, this is an essential reference for both students and engineers in R&D that explains the topic in a concise, hands-on way. Includes problems and exercises for training purposes as well as to further explain the concept of machine vision.

Preface
 
BASICS OF MACHINE VISION
Digital Images
Components of an Imaging System
 
IMAGE ACQUISITION WITH LABVIEW
Acquiring Images with MAX
Acquiring Images using LabVIEW
 
PARTICLE ANALYSIS
Particle Analysis Using Vision Assistant
LabVIEW Code Creation Using Vision Assistant
LabVIEW Code Modification
Particle Analysis Using Vision Express
Conversion of Pixels to Real-World Units
 
EDGE DETECTION
Edge Detection via Vision Assistant
LabVIEW Code for Edge Detection
VI for Real-Time-Based Edged Detection
The Use of Vision Assistant Express for Real-Time Edge Detection
 
PATTERN MATCHING
Pattern Matching Using Vision Assistant
LabVIEW Code Creation and Modification
Main VI for Pattern Matching
Vision Assistant Express
 
COLOR PATTERN MATCHING
Color Pattern Matching Using Vision Assistant Express
 
DIMENSION MEASUREMENT
Dimension Measurement Using Vision Assistant Express
VI Creation for Dimension Measurement
 
DIMENSION MEASUREMENT USING COORDINATE SYSTEM
Measurement Based on a Reference Coordinate System Using Vision Assistant Express
Conversion of Vision Assistant Express to a Standard VI
 
GEOMETRIC MATCHING
Geometric Matching Using Vision Assistant Express
VI Creation for Geometric Matching
Shape Detection
 
BINARY SHAPE MATCHING
Accessing Previously Saved Images with Vision Acquisition Express
Binary Shape Matching Using Vision Assistant
Overlay VI Creation for Shape Matching
VI for Binary Shape Matching
 
OCR (OPTICAL CHARACTER RECOGNITION)
OCR Using Vision Assistant
VI for OCR
 
BINARY PARTICLE CLASSIFICATION
Vision Acquisition Express to Load Image Files
Vision Assistant Express for Classification
VI Modification
Overlay for Classification
Main VI for Classification
 
CONTOUR ANALYSIS
Contour Analysis
VIs for Contour Analysis
 
IMAGE CALIBRATION AND CORRECTION
Method for Creating an Image Correction File
Image Correction
 
SAVING AND READING IMAGES
Saving Image
Image Read from File
 
AVI FILE WRITE AND READ
AVI File Creation Using Image File
AVI File Creation Based on Real-Time Image Acquisition
Read Frame from AVI File
 
TRACKING
Tracking with the Use of Vision Assistant
VI Creation for Tracking Objects
 
LABVIEW MACHINE VISION APPLICATIONS
Semiconductor Manufacturing
Automobile Industry
Medical and Bio Applications
Inspection
Industrial Printing
 
STUDENT PROJECTS
Project 1: Noncontact Motion Measurement and its Analysis
Project 2: Intelligent Surveillance Camera
Project 3: Driving a LeGO NXT Car (LEGO Mindstorm) with Finger Motion
Project 4: Piano Keyboard Using Machine Vision
 
Index