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Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of “Algorithms for Fault Detection and Diagnosis”, articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.

History of engineering & technology --- structural health monitoring --- digital image processing --- damage --- gray level co-occurrence matrix --- self-organization map --- rolling bearings --- fault diagnosis --- multiscale entropy --- amplitude-aware permutation entropy --- random forest --- reusable launch vehicle --- thruster valve failure --- thruster fault detection --- Kalman filter --- machine vision --- machine diagnostics --- instantaneous angular speed --- SURVISHNO 2019 challenge --- video tachometer --- motion tracking --- edge detection --- parametric template modeling --- adaptive template matching --- genetic algorithm --- misalignment --- fault prediction --- combined prediction --- multivariate grey model --- quantum genetic algorithm --- least squares support vector machine --- lithium-ion battery --- battery faults --- battery safety --- battery management system --- fault diagnostic algorithms

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Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of “Algorithms for Fault Detection and Diagnosis”, articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.

History of engineering & technology --- structural health monitoring --- digital image processing --- damage --- gray level co-occurrence matrix --- self-organization map --- rolling bearings --- fault diagnosis --- multiscale entropy --- amplitude-aware permutation entropy --- random forest --- reusable launch vehicle --- thruster valve failure --- thruster fault detection --- Kalman filter --- machine vision --- machine diagnostics --- instantaneous angular speed --- SURVISHNO 2019 challenge --- video tachometer --- motion tracking --- edge detection --- parametric template modeling --- adaptive template matching --- genetic algorithm --- misalignment --- fault prediction --- combined prediction --- multivariate grey model --- quantum genetic algorithm --- least squares support vector machine --- lithium-ion battery --- battery faults --- battery safety --- battery management system --- fault diagnostic algorithms --- structural health monitoring --- digital image processing --- damage --- gray level co-occurrence matrix --- self-organization map --- rolling bearings --- fault diagnosis --- multiscale entropy --- amplitude-aware permutation entropy --- random forest --- reusable launch vehicle --- thruster valve failure --- thruster fault detection --- Kalman filter --- machine vision --- machine diagnostics --- instantaneous angular speed --- SURVISHNO 2019 challenge --- video tachometer --- motion tracking --- edge detection --- parametric template modeling --- adaptive template matching --- genetic algorithm --- misalignment --- fault prediction --- combined prediction --- multivariate grey model --- quantum genetic algorithm --- least squares support vector machine --- lithium-ion battery --- battery faults --- battery safety --- battery management system --- fault diagnostic algorithms

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Optical technologies provide unique opportunities for the diagnosis of various pathological disorders. The range of biophotonics applications in clinical practice is considerably wide given that the optical properties of biological tissues are subject to significant changes during disease progression. Due to the small size of studied objects (from μm to mm) and despite some minimum restrictions (low-intensity light is used), these technologies have great diagnostic potential both as an additional tool and in cases of separate use, for example, to assess conditions affecting microcirculatory bed and tissue viability. This Special Issue presents topical articles by researchers engaged in the development of new methods and devices for optical non-invasive diagnostics in various fields of medicine. Several studies in this Special Issue demonstrate new information relevant to surgical procedures, especially in oncology and gynecology. Two articles are dedicated to the topical problem of breast cancer early detection, including during surgery. One of the articles is devoted to urology, namely to the problem of chronic or recurrent episodic urethral pain. Several works describe the studies in otolaryngology and dentistry. One of the studies is devoted to diagnosing liver diseases. A number of articles contribute to the studying of the alterations caused by diabetes mellitus and cardiovascular diseases. The results of all the presented articles reflect novel innovative research and emerging ideas in optical non-invasive diagnostics aimed at their wider translation into clinical practice.

Public health & preventive medicine --- chemoresistance --- cisplatin --- gray-level co-occurrence matrix --- ovarian adenocarcinoma --- optical densitometry --- liver diagnosis --- indocyanine green --- liver functional reserve --- optical density --- plasma disappearance rate --- cross-polarization optical coherence tomography (CP OCT) --- ultrasound --- urethral pain syndrome --- epithelial atrophy --- epithelial hyperplasia --- inflammation --- fibrosis --- image evaluation --- liver cancer --- endogenous fluorescence --- laser Doppler flowmetry --- blood perfusion --- minimally invasive interventions --- machine learning --- raman spectroscopy --- optical diagnostic --- periodontitis --- tooth tissues --- biophotonics --- calculus --- zebrafish --- embryonic development --- cardiovascular system --- in vivo imaging --- optical mapping --- non-invasive measurements --- shortwave-infrared light --- near-infrared light --- visible light --- fluorescence --- breast cancer --- duct --- visible human project --- Monte Carlo simulation --- voxelized media --- cross-polarization optical coherence tomography (CP-OCT) --- compressional optical coherence elastography (C-OCE) --- image assessment --- optical properties --- scattering theories --- circulatory system --- blood rheology --- red blood cell aggregation --- laser tweezers --- laser aggregometry --- digital capillaroscopy --- coronary heart disease --- diabetes mellitus --- optical diagnostics --- digital diaphanoscopy --- magnetic resonance imaging --- paranasal sinuses --- inflammatory diseases --- non-invasive optical diagnostics --- cumulative sum --- power spectrum --- heating test --- diabetes mellitus type 2 --- wearable blood flow sensors --- ortostatic test --- postural changes --- body position --- blood perfusion in forehead --- blood perfusion in wrists --- blood perfusion in shins --- blood perfusion oscillations --- vasomotions --- optics --- spectroscopy --- imaging --- diagnostics --- chemoresistance --- cisplatin --- gray-level co-occurrence matrix --- ovarian adenocarcinoma --- optical densitometry --- liver diagnosis --- indocyanine green --- liver functional reserve --- optical density --- plasma disappearance rate --- cross-polarization optical coherence tomography (CP OCT) --- ultrasound --- urethral pain syndrome --- epithelial atrophy --- epithelial hyperplasia --- inflammation --- fibrosis --- image evaluation --- liver cancer --- endogenous fluorescence --- laser Doppler flowmetry --- blood perfusion --- minimally invasive interventions --- machine learning --- raman spectroscopy --- optical diagnostic --- periodontitis --- tooth tissues --- biophotonics --- calculus --- zebrafish --- embryonic development --- cardiovascular system --- in vivo imaging --- optical mapping --- non-invasive measurements --- shortwave-infrared light --- near-infrared light --- visible light --- fluorescence --- breast cancer --- duct --- visible human project --- Monte Carlo simulation --- voxelized media --- cross-polarization optical coherence tomography (CP-OCT) --- compressional optical coherence elastography (C-OCE) --- image assessment --- optical properties --- scattering theories --- circulatory system --- blood rheology --- red blood cell aggregation --- laser tweezers --- laser aggregometry --- digital capillaroscopy --- coronary heart disease --- diabetes mellitus --- optical diagnostics --- digital diaphanoscopy --- magnetic resonance imaging --- paranasal sinuses --- inflammatory diseases --- non-invasive optical diagnostics --- cumulative sum --- power spectrum --- heating test --- diabetes mellitus type 2 --- wearable blood flow sensors --- ortostatic test --- postural changes --- body position --- blood perfusion in forehead --- blood perfusion in wrists --- blood perfusion in shins --- blood perfusion oscillations --- vasomotions --- optics --- spectroscopy --- imaging --- diagnostics

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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.

History of engineering & technology --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student’s-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- n/a --- Student's-t Mixtures Model

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• Reference Manager
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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.

change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student’s-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- n/a --- Student's-t Mixtures Model