8 Best Books on Machine Vision System

“Potato Sorting in Machine Vision System” Book Review: The book features machine vision techniques used for potato sorting. Machine Vision techniques are also used for grading of a wide range of crops. Potatoes(Solanum Tuberosum) is one of the major agricultural crops in the world with a consumption accounting to millions. The book discusses topics like qualitative and quantitative sorting of potatoes by lighting chamber, camera, frame grabber and computer for catching proper images and processing them. Grading and sorting of potatoes using these techniques helps in meeting the defined grade requirements of the sellers which ensures the expected quality for the buyers. The book mentions the difficulties involved in the identification and detection of various defects solely by means of color analysis. The total 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: The book focuses on the three I processes associated with the machine vision systems such as image acquisition, preposition and image analysis. The book is a reference text which covers every aspect of acquisition and preposition like the illumination of a scene, the optics of image forming, CCD and CMOS image capture along with the transformation of the captured image. The book details every aspect,from software and hardware to the theories and applications. The book features detailed theories of CCD and CMOS image sensors, image formation, scene illumination and camera calibration. It further moves on to the explanation of unique combination of operational details of imaging hardware(front-end electronics) and analytical theories of low-level image processing functions. It also details the image acquisition modules and preprocessing functions within a unified framework and also explains the derivation of 2D image processing functions from first principles by extending 1D signal processing concepts.

“Machine Vision Systems Integration (Critical Reviews , Vol 36)” Book Review: The book deals with machine vision systems and their integration. The major topics involved are 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 and different concepts on machine vision system. Other topics include automated vision-based quality control for electro-optical module manufacturing, determination of bake time and temperature of painted plastic using mathematical morphology and neural networks and applications of online gauging for closed loop process control.

“Selected Papers on Industrial Machine Vision Systems (SPIE Milestone Series)” Book Review: The work is a compilation of some selected papers on the industrial machine vision systems. The papers discuss topics like Systems issues, Image formation, Acquisition and Sending, Image processing, Applications and Advanced systems and finally some Opinions. The book features industrial vision systems. The book presents the fundamentals of machine vision systems and their applications along with automated visual inspection systems and concepts of image processing. The book 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: The book presents all the topics concerned with the field of image processing and machine vision. The book is developed for undergraduates, graduates, researchers and professionals. It can be used in more than one course like image processing or machine vision classes. While advanced mathematics is not a necessary prerequisite, mathematical coverage is included for advanced readers. The main advantages of the book are it’s easy-to-follow algorithm descriptions and carefully picked problems and examples.

“Image Processing, Analysis and Machine Vision” Book Review: The book focuses on image processing, analysis and machine vision. It presents topics like the image, it’s representation and properties, it’s mathematical and physical background, data structures for image analysis, image pre-processing, two sections of 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. The book begins with an introduction to the basic concepts of image representation, analysis and machine vision. The book also provides end-of-chapter exercises, summaries and short answer questions.

“Machine Vision and Mechatronics in Practice” Book Review: The book deals with Mechatronics and Machine vision in practice. The book lays special emphasis on the practical applications rather than the theory, although simulations and visualization are important concepts. The book covers topics from mining with its heavy engineering to the machining of holes in the human skull or robots for surgery on human flesh. The book discusses mobile robots for the need of navigation and for the task of stabilization of unmanned aerial vehicles. It also suggests the use of machine vision for the control of heating in an asphalt-laying machine. The book proposes manipulators for general tasks and in the form of grasping fingers together with robot arms for adding to the mobility scooter of the elderly. The book also discusses EEG signals as a means to control a robot and achieving face recognition in varying illumination.