03738nam 22006135 450 99646607740331620230728132438.03-540-47570-210.1007/3-540-56484-5(CKB)1000000000233939(SSID)ssj0000323138(PQKBManifestationID)11937892(PQKBTitleCode)TC0000323138(PQKBWorkID)10296896(PQKB)11755454(DE-He213)978-3-540-47570-5(PPN)155193708(EXLCZ)99100000000023393920121227d1993 u| 0engurnn#008mamaatxtccrFiltering, Segmentation and Depth[electronic resource] /by Mark Nitzberg, David Mumford, Takahiro Shiota1st ed. 1993.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1993.1 online resource (VIII, 152 p.)Lecture Notes in Computer Science,0302-9743 ;662Bibliographic Level Mode of Issuance: Monograph3-540-56484-5 Overview -- Filtering for occlusion detection -- Finding contours and junctions -- Continuations -- Finding the 2.1D sketch -- Conclusion.Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. This book addresses the process at several levels. First to be treated are the low-level image-processing issues of noise removaland smoothing while preserving important lines and singularities in an image. At a slightly higher level, a robust contour tracing algorithm is described that produces a cartoon of the important lines in the image. Thirdis the high-level task of reconstructing the geometry of objects in the scene. The book has two aims: to give the computer vision community a new approach to early visual processing, in the form of image segmentation that incorporates occlusion at a low level, and to introduce real computer algorithms that do a better job than what most vision programmers use currently. The algorithms are: - a nonlinear filter that reduces noise and enhances edges, - an edge detector that also finds corners and produces smoothed contours rather than bitmaps, - an algorithm for filling gaps in contours.Lecture Notes in Computer Science,0302-9743 ;662Optical data processingArtificial intelligenceSoftware engineeringImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Software Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Optical data processing.Artificial intelligence.Software engineering.Image Processing and Computer Vision.Artificial Intelligence.Software Engineering/Programming and Operating Systems.006.4/2Nitzberg Markauthttp://id.loc.gov/vocabulary/relators/aut745764Mumford David1937-authttp://id.loc.gov/vocabulary/relators/autShiota Takahiroauthttp://id.loc.gov/vocabulary/relators/autBOOK996466077403316Filtering, segmentation and depth1487641UNISA04157nam 2201129z- 450 991055779280332120220111(CKB)5400000000045460(oapen)https://directory.doabooks.org/handle/20.500.12854/76307(oapen)doab76307(EXLCZ)99540000000004546020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDiagnostic Challenges in Sports CardiologyBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (169 p.)3-0365-1203-9 3-0365-1202-0 The foundations of sports cardiology include promoting physical activity and providing a safe environment for training and competition for all athletes at all levels, from professional to recreational. To combine these two aims, reliable tools to perform preparticipation screenings are needed. Moreover, those at high risk of potentially life-threatening events should be advised to limit their training load, while others should be reassured that there is no exercise-related cardiovascular risk. We are currently witnessing the advent of new portable devices for remote and mobile heart monitoring and several new and promising biochemical markers, which can support athletes' diagnostic processes. In this Special Issue of the Diagnostics journal entitled "Diagnostic Challenges in Sports Cardiology", we present a series of 13 manuscripts, including eight original works, three reviews, and two case reports, which give a glimpse into the current research topics in the area of sports cardiology.Medicinebicsscadaptive changesamateuranabolic androgenic steroidsarrhythmiaasymptomatic preexcitationathleteathletesathletes' heartsautonomic nervous systemAVNRTbiomarkersblood testscaffeineCardiac 31P-MR spectroscopycardiac fibrosiscardiac hypertrophycardiac magnetic resonance imagingcardiovascular capacitycatecholaminergic polymorphic ventricular tachycardiaCPVTcross-country skiing amateurcyclingdietECGechocardiographyelectrocardiogramendurance runningendurance sportendurance trainingexerciseexertion cardiac arrhythmiaexertion rhythm disordersgenetic testingheartheart diseaseheart rateheart rate monitorheart rate variabilityHolter ECGHRMlong-term assessmentmagnetic resonance imagingmarathonmicroRNAmodern pentathlonmodern penthatlonn/aperformancephysiological stateportable/wearable monitoring systemprofessional ultramarathon runnerQARDIO MD systemreliabilityrepeatabilityrespiratory raterisk factorrunnersrunningsports cardiologysudden cardiac arresttriathlontroponinveganWPWMedicineMalek Lukaszedt1326216Postuła MarekedtMalek LukaszothPostuła MarekothBOOK9910557792803321Diagnostic Challenges in Sports Cardiology3037165UNINA