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Image Processing in Agriculture and Forestry

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ISBN: 9783038970972 9783038970989 Year: Pages: 222 DOI: 10.3390/books978-3-03897-098-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Mechanical Engineering
Added to DOAB on : 2018-09-27 09:15:10
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Image processing in agriculture and forestry represents a challenge towards the automation of tasks for better performances. Agronomists, computer and robotics engineers, and agricultural machinery industry manufacturers now have at their disposal a book containing a collection of methods, procedures, designs, and descriptions at the technological forefront, which serves as an important support and aid for the implementation and development of their own ideas.The book describes: (1) Applications (canopy on trees, aboveground biomass, phenotyping, chlorophyll, leaf area index, water and nutrient content, land cover change, soil properties, and secure autonomous navigation); (2) Imaging devices onboard robots, unmanned aerial vehicles (UAVs), and satellites operating at different spectral ranges (visible, infrared, hyper-multispectral bands, and radar), as well as guidelines for selecting machine vision systems in outdoor environments; and (3) (Specific computer vision methods (generic and convolutional neural networks, machine learning, specific segmentation approaches, vegetation indices, and three-dimensional (3D) reconstruction).

Beleuchtungsverfahren zur problemspezifischen Bildgewinnung für die automatische Sichtprüfung

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Book Series: Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung ISSN: 18665934 ISBN: 9783731503132 Year: Volume: 8 Pages: XXIV, 239 p. DOI: 10.5445/KSP/1000044824 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:02
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In machine vision, the illumination design has direct impact on the performance of a visual inspection system. In this work, a problem-specific illumination design is presented, which is motivated by optical feature extraction taking place during physical image acquisition. The approach is analyzed on the basis of a physically based camera and illumination model and is experimentally evaluated in different application scenarios.

Portraits of Automated Facial Recognition

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Book Series: Image ISBN: 9783839448465 9783837648461 Year: Pages: 198 DOI: 10.14361/9783839448465 Language: English
Publisher: transcript Verlag
Subject: Media and communication
Added to DOAB on : 2020-01-22 11:21:04
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Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of this study examines the example of an early facial recognition algorithm called »eigenface« and traces a history of the merging of statistics and vision. The second part addresses contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. This book argues that we must take a closer look at the technology of automated facial recognition and claims that its forms of representation are embedded with visual politics. Even more significantly, this technology is redefining what it means to see and be seen in the contemporary world.

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

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ISBN: 9783039213757 / 9783039213764 Year: Pages: 344 DOI: 10.3390/books978-3-03921-376-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR

Keywords

Vehicle-to-X communications --- Intelligent Transport Systems --- VANET --- DSRC --- Geobroadcast --- multi-sensor --- fusion --- deep learning --- LiDAR --- camera --- ADAS --- object tracking --- kernel based MIL algorithm --- Gaussian kernel --- adaptive classifier updating --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- joystick --- two-wheeled --- terrestrial vehicle --- path planning --- infinity norm --- p-norm --- kinematic control --- navigation --- actuation systems --- maneuver algorithm --- automated driving --- cooperative systems --- communications --- interface --- automated-manual transition --- driver monitoring --- visual tracking --- discriminative correlation filter bank --- occlusion --- sub-region --- global region --- autonomous vehicles --- driving decision-making model --- the emergency situations --- red light-running behaviors --- ethical and legal factors --- T-S fuzzy neural network --- road lane detection --- map generation --- driving assistance --- autonomous driving --- real-time object detection --- autonomous driving assistance system --- urban object detector --- convolutional neural networks --- machine vision --- biological vision --- deep learning --- convolutional neural network --- Gabor convolution kernel --- recurrent neural network --- enhanced learning --- autonomous vehicle --- crash injury severity prediction --- support vector machine model --- emergency decisions --- relative speed --- total vehicle mass of the front vehicle --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- drowsiness detection --- smart band --- electrocardiogram (ECG) --- photoplethysmogram (PPG) --- recurrence plot (RP) --- convolutional neural network (CNN) --- squeeze-and-excitation --- residual learning --- depthwise separable convolution --- blind spot detection --- machine learning --- neural networks --- predictive --- vehicle dynamics --- electric vehicles --- FPGA --- GPU --- parallel architectures --- optimization --- panoramic image dataset --- road scene --- object detection --- deep learning --- convolutional neural network --- driverless --- autopilot --- deep leaning --- object detection --- generative adversarial nets --- image inpainting --- n/a

Entropy in Image Analysis

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ISBN: 9783039210923 / 9783039210930 Year: Pages: 456 DOI: 10.3390/books978-3-03921-093-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.

Keywords

image retrieval --- multi-feature fusion --- entropy --- relevance feedback --- chaotic system --- image encryption --- permutation-diffusion --- SHA-256 hash value --- dynamic index --- entropy --- keyframes --- Shannon’s entropy --- sign languages --- video summarization --- video skimming --- image encryption --- multiple-image encryption --- two-dimensional chaotic economic map --- security analysis --- image encryption --- chaotic cryptography --- cryptanalysis --- chosen-plaintext attack --- image information entropy --- blind image quality assessment (BIQA) --- information entropy, natural scene statistics (NSS) --- Weibull statistics --- discrete cosine transform (DCT) --- ultrasound --- hepatic steatosis --- Shannon entropy --- fatty liver --- metabolic syndrome --- multi-exposure image fusion --- texture information entropy --- adaptive selection --- patch structure decomposition --- image encryption --- time-delay --- random insertion --- information entropy --- chaotic map --- uncertainty assessment --- deep neural network --- random forest --- Shannon entropy --- positron emission tomography --- reconstruction --- field of experts --- additive manufacturing --- 3D prints --- 3D scanning --- image entropy --- depth maps --- surface quality assessment --- machine vision --- image analysis --- Arimoto entropy --- free-form deformations --- normalized divergence measure --- gradient distributions --- nonextensive entropy --- non-rigid registration --- pavement --- macrotexture --- 3-D digital imaging --- entropy --- decay trend --- discrete entropy --- infrared images --- low contrast --- multiscale top-hat transform --- image encryption --- DNA encoding --- chaotic cryptography --- cryptanalysis --- image privacy --- computer aided diagnostics --- colonoscopy --- Rényi entropies --- structural entropy --- spatial filling factor --- binary image --- Cantor set --- Hénon map --- Minkowski island --- prime-indexed primes --- Ramanujan primes --- Kapur’s entropy --- color image segmentation --- whale optimization algorithm --- differential evolution --- hybrid algorithm --- Otsu method --- image encryption --- dynamic filtering --- DNA computing --- 3D Latin cube --- permutation --- diffusion --- fuzzy entropy --- electromagnetic field optimization --- chaotic strategy --- color image segmentation --- multilevel thresholding --- contrast enhancement --- sigmoid --- Tsallis statistics --- q-exponential --- q-sigmoid --- q-Gaussian --- ultra-sound images --- person re-identification --- image analysis --- hash layer --- quantization loss --- Hamming distance --- cross-entropy loss --- image entropy --- Shannon entropy --- generalized entropies --- image processing --- image segmentation --- medical imaging --- remote sensing --- security

Machining—Recent Advances, Applications and Challenges

Authors: ---
ISBN: 9783039213771 / 9783039213788 Year: Pages: 554 DOI: 10.3390/books978-3-03921-378-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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The Special Issue Machining—Recent Advances, Applications and Challenges is intended as a humble collection of some of the hottest topics in machining. The manufacturing industry is a varying and challenging environment where new advances emerge from one day to another. In recent years, new manufacturing procedures have retained increasing attention from the industrial and scientific community. However, machining still remains the key operation to achieve high productivity and precision for high-added value parts. Continuous research is performed, and new ideas are constantly considered. This Special Issue summarizes selected high-quality papers which were submitted, peer-reviewed, and recommended by experts. It covers some (but not only) of the following topics: High performance operations for difficult-to-cut alloys, wrought and cast materials, light alloys, ceramics, etc.; Cutting tools, grades, substrates and coatings. Wear damage; Advanced cooling in machining: Minimum quantity of lubricant, dry or cryogenics; Modelling, focused on the reduction of risks, the process outcome, and to maintain surface integrity; Vibration problems in machines: Active and passive/predictive methods, sources, diagnosis and avoidance; Influence of machining in new concepts of machine–tool, and machine static and dynamic behaviors; Machinability of new composites, brittle and emerging materials; Assisted machining processes by high-pressure, laser, US, and others; Introduction of new analytics and decision making into machining programming. We wish to thank the reviewers and staff from Materials for their comments, advice, suggestions and invaluable support during the development of this Special Issue.

Keywords

dry-cutting --- concrete --- segmented diamond blade --- topography --- diameter variation --- weight loss --- in situ estimation --- SACE-drilled hole depth --- spark-assisted chemical engraving --- glass machining --- computer vision --- electrochemical discharge machining --- butt weld joint --- fatigue --- crack growth rate --- weld reinforcement --- cooling rate --- artificial neutral network --- cutting parameters --- magnesium alloys --- optimization --- prime machining costs --- surface roughness --- electropulsing --- machinability --- chip compression ratio --- current density --- specific cutting energy --- cutting edge microgeometry --- residual stress --- finite element model --- cutting edge preparation --- Inconel 718 --- stiffness properties --- parameter identification --- connections --- machine tool --- response surface methodology --- design of experiments --- modal testing --- plastic zone --- fracture mechanism --- steel sheet --- cutting process --- Huber–Mises stress --- finite element method --- microscopic analysis --- PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating --- cutting temperature --- Inconel 718 --- cutting tool wear --- secondary adhesion wear --- turning --- machining --- aluminium --- flank super abrasive machining (SAM) --- flank milling --- Inconel® 718 --- roughness --- residual stress --- machine vision --- on-machine monitoring --- tool insert condition --- computer numerical control --- turning machine tools --- multi-beam laser --- heat transfer analysis --- fast simulation --- GPU --- analytic solution --- minimum quantity lubrication --- surface grinding --- multi-objective optimization --- grey relational analysis --- surface topography --- sustainable machining --- Gamma-TiAl --- superalloys --- slight materials --- drilling --- titanium aluminides --- additive manufacturing --- single point incremental sheet forming --- residual stresses --- X-ray diffraction --- ultra-precision machining --- slow tool servo --- surface topography --- simulation --- microlens array --- sinusoidal grid --- Milling stability --- variable pitch --- chatter --- self-excitation --- milling --- ceramics --- ductile machining --- PCD --- corner radius --- material removal rate --- adhesive --- machining --- modelling --- dry --- CFRP/UNS A92024 --- induction assisted milling --- tool wear --- taguchi method --- cutting tool --- machining temperatures at two deformation zones --- force–temperature correlation through analytical modeling --- high computational efficiency --- real-time prediction --- hybrid stacks drilling --- minimum quantity lubrication --- hole quality --- tool wear --- WEDM --- EN 31 steel --- surface roughness --- fractal dimension --- ANN --- GA --- cryogenic machining --- cutting tool --- cutting geometry --- titanium --- power consumption --- material-removal rate --- specific energy consumption --- grain density --- modeling --- shape memory alloy --- superelastic nitinol --- WEDM --- heat transfer search algorithm --- DSC test --- shape memory effect --- dish angle --- trochoidal step --- response surface methodology --- surface roughness --- desirability approach --- tool wear --- trochoidal milling --- titanium alloy --- chip morphology --- thin-wall machining --- chatter --- vibration --- deflection --- damping --- prediction --- workholding --- fixture --- dynamic --- stability --- titanium alloys --- machining --- turning --- machinability --- tool wear --- laser-assisted machining --- Taguchi method --- optimal machining conditions --- machining characteristic --- milling --- the cutting force components --- vibrations --- magnesium alloys --- artificial neural networks

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