8 Best Books on Machine Vision System

“Potato Sorting in Machine Vision System” Book Review: The book discusses the use of machine vision techniques for sorting potatoes, which is one of the world’s major agricultural crops with a consumption accounting for millions. The techniques include qualitative and quantitative sorting by capturing proper images using lighting chamber, camera, frame grabber and computer, and processing them. These techniques help in meeting the defined grade requirements of the sellers and ensuring the expected quality for the buyers. However, the book also mentions the difficulties involved in identifying and detecting various defects solely by means of color analysis. The sorting accuracy of potatoes amounted to 96.823%, and the grading accuracy of defects amounted to 97.67%.

“Image Acquisition and Preprocessing for Machine Vision Systems (SPIE Press Monograph)” Book Review: This reference book covers every aspect of machine vision systems, focusing on the three processes associated with them: image acquisition, preposition, and image analysis. It provides detailed information on acquisition and preposition, including scene illumination, image forming optics, CCD and CMOS image capture, and image transformation. The book also covers theories of CCD and CMOS image sensors, image formation, scene illumination, camera calibration, and low-level image processing functions. Moreover, it details the image acquisition modules and preprocessing functions, explains the derivation of 2D image processing functions from first principles, and extends 1D signal processing concepts. The book is suitable for undergraduates, graduates, researchers, and professionals in the field, and includes mathematical coverage for advanced readers.

“Machine Vision Systems Integration (Critical Reviews , Vol 36)” Book Review: This book deals with machine vision systems and their integration, covering topics such as image recognition, region segmentation, design of a flexible image, three-dimensional multistage network, implementation of SKIPSM, new design environment, high-speed image processing algorithms, software implementation, color-to-speech sensory substitution, effects of aging, real-time implementation, automated vision-based quality control, determination of bake time and temperature of painted plastic, and applications of online gauging for closed loop process control.

“Selected Papers on Industrial Machine Vision Systems (SPIE Milestone Series)” Book Review: This compilation of selected papers on industrial machine vision systems covers topics such as systems issues, image formation, acquisition and sending, image processing, applications, advanced systems, and opinions. The book presents the fundamentals of machine vision systems and their applications, including automated visual inspection systems and concepts of image processing. Additionally, it gives a detailed description of the advancements of these technologies and their uses.

“Machine Vision Applications, Architectures, and Systems Integration IV: Conference : Papers” Book Review: This book presents all the topics related to image processing and machine vision, and is suitable for undergraduates, graduates, researchers, and professionals. It can be used in courses like image processing or machine vision, and includes mathematical coverage for advanced readers. The book is easy to follow and includes algorithm descriptions, as well as carefully picked problems and examples.

“Image Processing, Analysis and Machine Vision” Book Review: This book focuses on image processing, analysis, and machine vision, covering topics such as image representation, mathematical and physical background, data structures for image analysis, image pre-processing, segmentation, shape representation and description, object recognition, image understanding, 3D geometry, correspondence, 3D from intensities, use of 3D vision, mathematical morphology, image data compression, texture, and motion analysis. It starts with an introduction to the basic concepts of image representation, analysis, and machine vision, and provides end-of-chapter exercises, summaries, and short answer questions.

“Machine Vision and Mechatronics in Practice” Book Review: This book deals with Mechatronics and Machine vision in practice, emphasizing practical applications rather than theory, although simulations and visualization are also important concepts. It covers topics such as mining with heavy engineering, machining holes in the human skull, robots for surgery on human flesh, mobile robots for navigation and stabilization of unmanned aerial vehicles, machine vision for controlling heating in an asphalt-laying machine, manipulators for general tasks and grasping fingers, and EEG signals as a means to control a robot and achieving face recognition in varying illumination.