Measurements and Instrumentation for Machine Vision (eBook, ePUB)

Redaktion: Sergiyenko, Oleg; Miranda-Vega, Jesús E; Rodriguez-Quiñonez, Julio; Flores-Fuentes, Wendy

• Format: ePub

Produktbeschreibung

A comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. The book aims to provide advanced students, early career researchers, and established scholars with state-of-the-art knowledge and novel content related to the implementation of machine vision in engineering.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 466
• Erscheinungstermin: 26. Juni 2024
• Englisch
• ISBN-13: 9781040043110
• Artikelnr.: 69914391

Autorenporträt

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.

Inhaltsangabe

1. Machine Learning Approaches for Single Photon Direct Time of Flight
Imaging 2. Experimental Evaluation of Depth Measurements Accuracy in Indoor
3. Design and Evaluation Support System for Convolutional Neural Network,
Support Vector Machine and Convolutional Autoencoder 4. Classification of
Objects in IR Images Using Wavelet Filters Based on Lifting Scheme 5. Image
Dataset Augmentation: A Survey and Taxonomy 6. A Filter-based Feature
Selection Methodology for Vehicle/Non-Vehicle Classification 7. Augmented
Visual Inertial Wheel Odometry Through Slip Compensation 8. Methodology for
Developing Models of Image Color of Terrain with Landmarks for Their
Detection and Recognition by Autonomous Mobile Robots 9. Machine Vision :A
Measurement Tool for Agricultural Automation 10. Occlusion-Aware
Disparity-based Direct Visual Servoing of Mobile Robots 11. Development of
Software and Hardware Complex for the Visualization of Sediments Inside a
Vortex Chamber 12. Machine Vision for Astronomical Images using the Modern
Image Processing Algorithms Implemented in the CoLiTec Software 13. Gallium
Oxide UV Sensing in Contemporary Applications 14. Technical Vision System
for Alive Human Detection in an Optically Opaque Environment 15. The Best
Linear Solution for a Camera and an Inertial Measurement Unit Calibration
16. Methods of Forming and Selecting a Reference Image to Provide
High-Speed Navigation for Maneuvering Aircraft 17. Application of Fibre
Bragg Grating Arrays for Medical Diagnosis and Rehabilitation Purposes.