Machine Vision Technology

Erscheinungsjahr 2026
ISBN: 978-981-951183-9
Verlag: Springer

Buch, Englisch, 438 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 933 g

Reihe: Advanced and Intelligent Manufacturing in China

This book brings together the vast majority of the existing popular image processing algorithms, with the simple illustrated method to explain the complex theoretical algorithms; each algorithm is given a practical application case, which is one of the main features of the book.  There are two parts in the book.  The first part "Machine Vision Theory and Algorithms" includes machine vision, image processing, target extraction, edge detection, image smoothing, geometric parameter detection, Hough transform, geometric transform, monocular vision measurement, binocular vision measurement, motion image processing, Fourier transform, wavelet transform, pattern recognition, neural network, deep learning, and genetic algorithm.  The second part "Machine Vision Application System" includes the universal image processing system ImageSys, two-dimensional motion image measurement and analysis system MIAS, three-dimensional motion measurement and analysis system MIAS3D, vehicle vision navigation system.  The book is not only suitable for machine vision and image processing professional theory combined with practice teaching, for the related professional researchers and technicists also has an important reference value.

Zielgruppe

Research

Autoren/Hrsg.

Chen, Bingqi

Chen, Siyao

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

Machine vision.- Image Processing.- Object Extraction.- Edge Detection.- Image Smoothing Processing.- Geometric Parameter Detection.- Hough Transform.- Geometric Transformations.- Monocular Vision Measurement.- Binocular Vision Measurement.- Motion Image Processing.- Fourier Transform.- Wavelet Transform.- Pattern Recognition.- Neural Networks.- Deep Learning.- Genetic Algorithms.- General Image Processing System ImageSys.- 2D Motion Image Measurement and Analysis System MIAS.- Three-dimensional Motion Measurement Analysis System MIAS 3D.- Vehicle Vision Navigation System.

Über Autor(innen)

Bingqi Chen, born on June 24, 1964, was a professor at College of Engineering, China Agricultural University. He holds a bachelor's degree in mechanical design and manufacturing from Henan University of Science and Technology, a master's and a doctor's degree from Tokyo University of Agriculture and Technology, a JSPS (Japan Society for Promotion Science) Post-doctoral Fellow, and a visiting scholar of JSPS. He founded Beijing Modern Fubo Technology Co. Ltd., and used to work for: Chinese Academy of Agricultural Mechanization Sciences and a Japanese image processing software development company. Specialty: image processing and machine vision technology.

The book Machine Vision Technology won the Excellent Book Award of Chemical Industry Press in 2019. The Research on Robot Vision of Rice Seed Transplanting won the High Automation Research Award of Japan-China Science and Technology Exchange Association in 1997. He has 16 monographs and textbooks, presided over the development of more than 50 image processing software projects, authorized 14 invention patents, and published more than 70 papers.

Siyao Chen is a postdoctoral researcher at the Graduate School of Agricultural and Life Sciences, The University of Tokyo. He received his Bachelor of Engineering degree in Electronic Information Engineering from the College of Information and Electrical Engineering, China Agricultural University, in 2019. From October 2019 to March 2025, he pursued his master’s and doctoral studies at the Graduate School of Agriculture, Kyoto University, Japan. During this period, he also completed the Platform Program for the Graduate School of Excellence at Kyoto University. While undertaking his Ph.D., he was concurrently a Research Fellow of the Japan Society for the Promotion of Science (JSPS). His research focuses on microfluidic biosensing and the application of computer vision in plant phenotyping.