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The work focuses on the analysis of influences of motion errors on near-range SAR applications and design of specific motion measuring and compensation algorithms. First, a novel metric to determine the optimum antenna beamwidth is proposed. Then, a comprehensive investigation of influences of motion errors on the SAR image is provided. On this ground, new algorithms for motion measuring and compensation using low cost inertial measurement units (IMU) are developed and successfully demonstrated.

inertial measurement unit --- synthetic aperture radar --- near-range application --- motion compensation

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Eye movements. --- Visual perception. --- Motion perception. --- Image motion compensation. --- Retinal images. --- Eye (anatomy) --- Retina.

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This book illustrates the exciting possibilities being opened up by X-ray computed tomography (CT) to follow the behavior of materials under conditions as close as possible to those encountered during their manufacture or in operation.The scientific chapters selected for this book describe results obtained using synchrotron or laboratory devices during in situ or ex situ experiments. They characterize microstructures across length scales ranging from tens of nanometers to a few tens of micrometers.In this collection, X-ray CT shines a light on the mechanical properties of engineering materials, such as aluminum or magnesium alloys, stainless steel, aluminum, polymer composites, or ceramic foam. In these experiments, X-ray CT is able to image and quantify the damage occurring during tensile, compression, indentation, or fatigue tests.Of course, X-ray CT can illuminate the structure and behavior of natural materials too. Here it is applied to bone or natural snow to study their mechanical behavior, as well as materials from the agri-food sector. Its versatility is exemplified by analyses of topics as diverse as the removal of olive oil from kitchen sponges by squeezing and rinsing, to the effect of temperature changes on the structure of ice cream.

in-situ X-ray computed tomography --- thermal-mechanical loading --- polymer bonded explosives --- mesoscale characterization --- structure evolution --- particle morphology --- heat treatment --- aluminum cast alloy --- mechanical properties --- Ostwald ripening --- nanotomography --- phase-contrast imaging --- tomographic reconstruction --- dynamic tomography --- motion compensation --- projection-based digital volume correlation --- X-ray μCT --- in-situ experiments --- flow cell --- alkaline manganese batteries --- X-ray tomography --- in operando --- in situ --- zinc powder --- laser powder bed fusion --- additive manufacturing --- in-situ imaging --- Ti6Al4V --- lattice structures --- mechanics --- corrosion --- biomaterial --- battery --- aluminum foams --- intermetallics --- finite element analysis --- damage --- polycrystal plasticity --- X-ray diffraction imaging --- topotomography --- in situ experiment --- finite element simulation --- lattice curvature --- rocking curve --- ice cream --- microstructure --- tomography --- ice crystals --- coarsening --- soft solids --- bone --- X-ray radiation --- tissue damage --- SR-microCT --- digital volume correlation --- temperature control --- electrochemical cell design --- batteries --- helical CT --- contrast agent --- high cycle fatigue (HCF) --- fibre break --- fibre tows --- Freeze Foaming --- in situ computed tomography --- non-destructive testing --- bioceramics --- aging --- crack initiation and propagation --- damage modes --- osteoporosis --- osteogenesis imperfecta --- porosity --- bone matrix quality --- micro-CT --- snow grains --- snow microstructure --- snow properties --- pore morphology --- voids --- fiber-reinforced concrete --- CT scan technology --- DIP software --- X-ray tomography (X-ray CT) --- 3D image analysis --- hydrogen embrittlement --- stainless steel

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For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.

Information technology industries --- Computer science --- CIELab --- component Substitution --- Pan sharpening --- Pléiades VHR Image --- coal --- inertinite macerals --- classification --- multifractal analysis --- support vector machine --- block-based coding --- video coding --- H.265/HEVC --- affine motion compensation --- image registration --- homography matrix --- local homography transformation --- convolutional neural network --- moving direct linear transformation --- super-resolution (SR) --- convolution neural network (CNN) --- Gene Expression Programming (GEP) --- deep learning --- image preclassification --- suspicious behavior detection --- motion --- magnitude --- gradient --- reactivity --- saliency --- haze removal --- dark channel --- atmospheric-light estimation --- coarse-to-fine search strategy --- sparse dictionary --- stable recovery --- frame --- RIP --- local dimming --- retinex theory --- bi-histogram equalization --- contrast ratio --- details preservation --- pansharpening --- image fusion --- image quality --- Satellite Pour l’Observation de la Terre (SPOT) 6 --- spectral consistency --- spatial consistency --- synthesis --- artificial intelligence --- dental application --- images --- detection --- parseval frame --- transform --- sparse representation --- octave convolution --- bilingual scene text reading --- Ethiopic script --- attention --- nasal cytology --- automatic cell segmentation --- rhinology --- image analysis --- feature extraction --- shape context --- plant recognition --- DPCNN --- BOF --- numeral spotting --- historical document analysis --- convolutional neural networks --- deep transfer learning --- handwritten digit recognition --- spectrum correction --- intensity correction --- compressed sensing --- tradeoff process --- IKONOS --- remote sensing --- fine-tuning --- learning rate scheduler --- cyclical learning rates --- label smoothing --- classification accuracy --- neural networks --- salient object detection --- RGB-D --- object detection --- small object --- multi-scale sampling --- balanced sampling --- texture --- structure --- optical --- coke --- iron ore --- sinter --- image processing --- segmentation --- identification --- action recognition --- silhouette sequences --- shape features --- ambient assisted living --- active ageing --- n/a --- Pléiades VHR Image --- Satellite Pour l'Observation de la Terre (SPOT) 6

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For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.

CIELab --- component Substitution --- Pan sharpening --- Pléiades VHR Image --- coal --- inertinite macerals --- classification --- multifractal analysis --- support vector machine --- block-based coding --- video coding --- H.265/HEVC --- affine motion compensation --- image registration --- homography matrix --- local homography transformation --- convolutional neural network --- moving direct linear transformation --- super-resolution (SR) --- convolution neural network (CNN) --- Gene Expression Programming (GEP) --- deep learning --- image preclassification --- suspicious behavior detection --- motion --- magnitude --- gradient --- reactivity --- saliency --- haze removal --- dark channel --- atmospheric-light estimation --- coarse-to-fine search strategy --- sparse dictionary --- stable recovery --- frame --- RIP --- local dimming --- retinex theory --- bi-histogram equalization --- contrast ratio --- details preservation --- pansharpening --- image fusion --- image quality --- Satellite Pour l’Observation de la Terre (SPOT) 6 --- spectral consistency --- spatial consistency --- synthesis --- artificial intelligence --- dental application --- images --- detection --- parseval frame --- transform --- sparse representation --- octave convolution --- bilingual scene text reading --- Ethiopic script --- attention --- nasal cytology --- automatic cell segmentation --- rhinology --- image analysis --- feature extraction --- shape context --- plant recognition --- DPCNN --- BOF --- numeral spotting --- historical document analysis --- convolutional neural networks --- deep transfer learning --- handwritten digit recognition --- spectrum correction --- intensity correction --- compressed sensing --- tradeoff process --- IKONOS --- remote sensing --- fine-tuning --- learning rate scheduler --- cyclical learning rates --- label smoothing --- classification accuracy --- neural networks --- salient object detection --- RGB-D --- object detection --- small object --- multi-scale sampling --- balanced sampling --- texture --- structure --- optical --- coke --- iron ore --- sinter --- image processing --- segmentation --- identification --- action recognition --- silhouette sequences --- shape features --- ambient assisted living --- active ageing --- n/a --- Pléiades VHR Image --- Satellite Pour l'Observation de la Terre (SPOT) 6