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Computer vision. --- Machine learning. --- Image processing --- Digital techniques. --- Digital image processing --- Digital electronics --- Learning, Machine --- Artificial intelligence --- Machine theory --- Machine vision --- Vision, Computer --- Pattern recognition systems

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Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- grafische vormgeving --- KI (kunstmatige intelligentie) --- Computer vision. --- Machine learning. --- Image processing --- Digital techniques. --- Digital image processing --- Digital electronics --- Learning, Machine --- Artificial intelligence --- Machine theory --- Machine vision --- Vision, Computer --- Pattern recognition systems

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Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- applicatiebeheer --- apps --- grafische vormgeving --- informatica --- programmeren (informatica) --- computernetwerken --- architectuur (informatica) --- interfaces --- Virtual reality --- Mixed reality. --- Image processing --- Digital techniques. --- Digital image processing --- Digital electronics --- Extended reality --- Hybrid reality --- MR (Mixed reality) --- Reality

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This book summarizes the key scientific outcomes of the Horizon 2020 research project TULIPP: Towards Ubiquitous Low-power Image Processing Platforms. The main focus lies on the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications. The holistic TULIPP approach is described in the book, which addresses hardware platforms, programming tools and embedded operating systems. Several of the results are available as open-source hardware/software for the community. The results are evaluated with several use cases taken from real-world applications in key domains such as Unmanned Aerial Vehicles (UAVs), robotics, space and medicine. Discusses the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications; Covers the hardware architecture of embedded image processing systems, novel methods, tools and libraries for programming those systems as well as embedded operating systems to manage those systems; Demonstrates results with several challenging applications, such as medical systems, robotics, drones and automotive.

Electronic circuits. --- Computer engineering. --- Internet of things. --- Embedded computer systems. --- Microprocessors. --- Circuits and Systems. --- Cyber-physical systems, IoT. --- Processor Architectures. --- Minicomputers --- Embedded systems (Computer systems) --- Computer systems --- Architecture Analysis and Design Language --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Computers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Design and construction --- Embedded computer systems --- Image processing --- Energy conservation. --- Digital techniques. --- Digital image processing --- Digital electronics

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Image techniques have been developed and implemented for various purposes, and image engineering (IE) is a rapidly evolving, integrated discipline comprising the study of all the different branches of image techniques, and encompassing mathematics, physics, biology, physiology, psychology, electrical engineering, computer science and automation. Advances in the field are also closely related to the development of telecommunications, biomedical engineering, remote sensing, surveying and mapping, as well as document processing and industrial applications. IE involves three related and partially overlapping groups of image techniques: image processing (IP) (in its narrow sense), image analysis (IA) and image understanding (IU), and the integration of these three groups makes the discipline of image engineering an important part of the modern information era. This is the first handbook on image engineering, and provides a well-structured, comprehensive overview of this new discipline. It also offers detailed information on the various image techniques. It is a valuable reference resource for R&D professional and undergraduate students involved in image-related activities.

Optical data processing. --- Machine learning. --- Multimedia information systems. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Machine Learning. --- Multimedia Information Systems. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Learning, Machine --- Artificial intelligence --- Machine theory --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Image processing --- Image analysis --- Optical pattern recognition --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Analysis of images --- Image interpretation --- Photographs --- Forensic sciences --- Inspection --- Computer vision. --- Multimedia systems. --- Digital techniques. --- Machine vision --- Vision, Computer --- Pattern recognition systems --- Digital image processing --- Digital electronics