1st Edition

Measurements and Instrumentation for Machine Vision

466 Pages 50 Color & 205 B/W Illustrations
by CRC Press

466 Pages 50 Color & 205 B/W Illustrations
by CRC Press

466 Pages 50 Color & 205 B/W Illustrations
by CRC Press

A comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. It explores the multidisciplinary nature of machine vision, involving electronic and mechatronic devices, artificial intelligence algorithms, embedded systems, control systems, robotics, interconnectivity, data science, and cloud computing. The book aims to provide advanced... Read more

Chapter 1: Machine Learning Approaches for Single Photon Direct Time of Flight Imaging

Jack Iain MacLean, Brian Stewart, and Istvan Gyongy

 

Chapter 2: Experimental Evaluation of Depth Measurements Accuracy in Indoor Environments

Wendy García-Gonzalez, Wendy Flores-Fuentes, Oleg Sergiyenko, Julio C. Rodríguez-Quiñonez, Jesús E. Miranda-Vega, Arnoldo Díaz-Ramirez, and Marina Kolendovska

 

Chapter 3: Design and Evaluation Support System for Convolutional Neural Network, Support Vector Machine and Convolutional Autoencoder

Fusaomi Nagata, Kento Nakashima, Kohei Miki, Koki Arima, Tatsuki Shimizu, Keigo Watanabe, and Maki K. Habib

 

Chapter 4: Classification of Objects in IR Images Using Wavelet Filters Based on Lifting Scheme

Daniel Trevino-Sanchez and Vicente Alarcon-Aquino

 

Chapter 5: Image Dataset Augmentation: A Survey and Taxonomy

Sergey Nesteruk, Svetlana Illarionova, and Andrey Somov

 

Chapter 6: A Filter-based Feature Selection Methodology for Vehicle/Non-Vehicle Classification

Atikul Islam, Saurav Mallik, Arup Roy, Maroi Agrebi, and Pawan Kumar Singh

 

Chapter 7: Augmented Visual Inertial Wheel Odometry Through Slip Compensation

Niraj Reginald, Omar Al-Buraiki, Baris Fidan, and Ehsan Hashemi

 

Chapter 8: Methodology for Developing Models of Image Color of Terrain with Landmarks for Their Detection and Recognition by Autonomous Mobile Robots

Oleksandr Poliarus and Yevhen Poliakov

 

Chapter 9: Machine Vision: A Measurement Tool for Agricultural Automation

Duke M. Bulanon, Isaac Compher, Garrisen Cizmich, Joseph Ichiro Bulanon, and Brice Allen

 

Chapter 10: Occlusion-Aware Disparity-based Direct Visual Servoing of Mobile Robots

Xiule Fan, Baris Fidan, and Soo Jeon

 

Chapter 11: Development of Software and Hardware Complex for the Visualization of Sediments Inside a Vortex Chamber

DO Semenov, SV Dvoinishnikov, VG Meledin, VV Rakhmanov, GV Bakakin, VA Pavlov, and IK Kabardin 

 

Chapter 12: Machine Vision for Astronomical Images using the Modern Image Processing Algorithms Implemented in the CoLiTec Software

Sergii Khlamov, Vadym Savanevych, Iryna Tabakova, Vladimir Kartashov, Tetiana Trunova, and Marina Kolendovska

 

Chapter 13: Gallium Oxide UV Sensing in Contemporary Applications

Naif H. Al-Hardan, Muhammad Azmi Abdul Hamid, Chaker Tlili, Azman Jalar, Mohd Firdaus Raih, and Naser M Ahmed

 

Chapter 14: Technical Vision System for Alive Human Detection in an Optically Opaque Environment

Oleg Sytnik and Vladimir Kartashov

 

Chapter 15: The Best Linear Solution for a Camera and an Inertial Measurement Unit Calibration

Miti Ruchanurucks, Ratchakorn Srihera, and Surangrak Sutiworwan

 

Chapter 16: Methods of Forming and Selecting a Reference Image to Provide High-Speed Navigation for Maneuvering Aircraft

Sotnikov Oleksandr, Tymochko Oleksandr, Tiurina Valeriia, Trystan Andrii, Dmitriev Oleg, Olizarenko Serhii, Afanasiev Volodymyr, Fustii Vadim, and Stepanenko Dmitryo 

 

Chapter 17: Application of Fibre Bragg Grating Arrays for Medical Diagnosis and Rehabilitation Purposes

Manish Mishra and Prasant Kumar Sahu

Biography

Oleg Sergiyenko is a Researcher in the Engineering Institute of Baja California. His research interests are in automated metrology, machien vision, robot navigation, fast electric measurements and control theory.

Wendy Flores-Fuentes is a Researcher-Professor of the Faculty of Engineering of the Autonomous University of Baja California. Her area of interest is the study, analysis and experimentation of optoelectronics and automatic measuremetns for the instrumentation of machine vision systems.

Julio C. Rodríguez-Quiñonez is a Researcher-Professor of the Faculty of Engineering of the Autonomous University of Baja California. His current research interests encompass automated metrology, machine vision, stereo vision systems, intertial navigation systems and robot navigation.

Jesús E. Miranda-Vega is a Professor in the National Technological Institute of Mexico/Mexicali Institute of Technology. His current research interests are machine vision, stereo vision, laser systems, artificial intelligence and signal processing.