Search results for "Image sensor"

showing 10 items of 63 documents

Auto calibration of a cone-beam-CT

2012

Purpose: This paper introduces a novel autocalibration method for cone-beam-CTs (CBCT) or flat-panel CTs, assuming a perfect rotation. The method is based on ellipse-fitting. Autocalibration refers to accurate recovery of the geometric alignment of a CBCT device from projection images alone, without any manual measurements. Methods: The authors use test objects containing small arbitrarily positioned radio-opaque markers. No information regarding the relative positions of the markers is used. In practice, the authors use three to eight metal ball bearings (diameter of 1 mm), e.g., positioned roughly in a vertical line such that their projection image curves on the detector preferably form l…

Cone beam computed tomographybusiness.industryComputer science3D reconstructionX-ray detectorImage processingGeneral MedicineIterative reconstructionEllipseOpticsCalibrationTomographyImage sensorbusinessImage resolutionAlgorithmMedical Physics
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A Selective Change Driven System for High-Speed Motion Analysis.

2016

Vision-based sensing algorithms are computationally-demanding tasks due to the large amount of data acquired and processed. Visual sensors deliver much information, even if data are redundant, and do not give any additional information. A Selective Change Driven (SCD) sensing system is based on a sensor that delivers, ordered by the magnitude of its change, only those pixels that have changed most since the last read-out. This allows the information stream to be adjusted to the computation capabilities. Following this strategy, a new SCD processing architecture for high-speed motion analysis, based on processing pixels instead of full frames, has been developed and implemented into a Field …

Data streamMotion analysisLaser scanningComputer scienceReal-time computing02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical ChemistryInformàtica0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185data-flow architectureElectrical and Electronic EngineeringImage sensorhigh-speed visual acquisitionField-programmable gate arrayInstrumentationDataflow architecturePixellaser scanning020208 electrical & electronic engineering010401 analytical chemistryFrame (networking)Arquitectura d'ordinadorsAtomic and Molecular Physics and Optics0104 chemical sciencesCMOS image sensor; event-based vision; high-speed visual acquisition; data-flow architecture; FPGA system; laser scanningCMOS image sensorevent-based visionFPGA systemSensors (Basel, Switzerland)
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Residents’corner June 2014. PhotogRaphic Clues: Best Settings for Dermatologic Photography

2014

Obtaining digital images either for documentation or research purposes is a daily need for the dermatologist. Photography, as the art of capturing light, relies mainly on three modifiable elements: lens aperture (defined as the opening through which light reaches the camera sensor; expressed as “F-stops”, the smaller the number, the broader the aperture), shutter speed (the total time during which light reaches the sensor; it is indicated as fractions of a second) and ISO sensitivity (the light [...]

Digital imagebusiness.industryAperturePhotographyMedicineComputer visionDermatologyArtificial intelligenceImage sensorbusinessShutter speedEuropean Journal of Dermatology
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An Intelligent Sensor for Fingerprint Recognition

2005

In this paper an intelligent sensor for fingerprint recognition is proposed. The sensor has the objective to overcome some limits of the fingerprint recognition software systems, as elaboration time and security issues related to fingerprint transmission between sensor and processing unit. Intelligent sensor has been prototyped using the Hamster Secugen sensor for image acquisition and the Celoxica RC1000 board, employing a Xilinx VirtexE2000 FPGA, for image processing and analysis. Resources used, elaboration time as well the recognition rates in both verification and identification modes are reported in the paper. To the best of our knowledge, this is the first implementation for a full h…

Dynamic time warpingIntelligent sensorBiometricsbusiness.industryFingerprintComputer scienceComputer visionImage processingArtificial intelligenceImage sensorFingerprint recognitionbusinessComputer hardware
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Smart cameras on a chip: using complementary metal-oxide-semiconductor (CMOS) image sensors to create smart vision chips

2020

Abstract: In this chapter, we introduce the fundamental concept of smart cameras on a chip or smart vision chips that simultaneously integrate the same die image capture capability and highly complex image processing. Successive technology scaling has made possible the integration of specific processing elements designed at chip level, at column level or at pixel level. To illustrate this continuous evolution, we survey three different categories of vision chips, exploring first the pioneering works on artificial retinas, then describing the most significant computational chips, and finally presenting the most recent image processing chips able to perform complex algorithms at a high frame …

EngineeringCMOSPixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONElectronic engineeringImage processingSmart cameraImage sensorFrame ratebusinessChipDie (integrated circuit)
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Algorithms for skiascopy measurement automatization

2014

Automatic dynamic infrared retinoscope was developed, which allows to run procedure at a much higher rate. Our system uses a USB image sensor with up to 180 Hz refresh rate equipped with a long focus objective and 850 nm infrared light emitting diode as light source. Two servo motors driven by microprocessor control the rotation of semitransparent mirror and motion of retinoscope chassis. Image of eye pupil reflex is captured via software and analyzed along the horizontal plane. Algorithm for automatic accommodative state analysis is developed based on the intensity changes of the fundus reflex.

EngineeringChassismedicine.diagnostic_testbusiness.industryServomotorUSBHorizontal planeRefresh ratelaw.inventionOpticslawmedicineComputer visionArtificial intelligenceImage sensorFocus (optics)businessAlgorithmRetinoscopySPIE Proceedings
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Design of a configurable multispectral imaging system based on an AOTF.

2011

In this paper, we present a configurable multispectral imaging system based on an acousto-optic tunable filter (AOTF). Typically, AOTFs are used to filter a single wavelength at a time, but thanks to the use of a versatile sweeping frequency generator implemented with a direct digital synthesizer, the imager may capture a configurable spectral range. Experimental results show a good spectral and imaging response of the system for spectral bandwidth up to a 50 nm.

EngineeringSignal generatorAcoustics and Ultrasonicsbusiness.industryMultispectral imageBandwidth (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhysics::OpticsFilter (signal processing)Direct digital synthesizerComputer Science::Computer Vision and Pattern RecognitionElectronic engineeringRadio frequencyElectrical and Electronic EngineeringImage sensorbusinessOptical filterInstrumentationIEEE transactions on ultrasonics, ferroelectrics, and frequency control
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A Correlation Retina in Standard 0.6um : Application in Positioning System

2003

International audience; We have designed and fabricated a programmable retina that is capable of recognizing patterns stored in memory in real-time. Each of the pixels of the retina is composed of a photodiode and an electronic device used during the programming phase to digitize the image of the pattern to recognize into a binary image stored in latches. The array of pixels is thus partitioned into two complementary disjoint sub-sets with all the photodiodes of the same sub-set connected together in order to obtain the sum total of the currents. During the analysis phase, an optical correlation between the projected image and the reference binary image memorized in the circuit is done. The…

Engineering[ INFO ] Computer Science [cs]Positioning systemPixelbusiness.industryBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBinary number02 engineering and technologyPhotodiodelaw.inventionLuminous fluxOpticslawvisual_artElectronic component0202 electrical engineering electronic engineering information engineeringvisual_art.visual_art_medium020201 artificial intelligence & image processingComputer vision[INFO]Computer Science [cs]Artificial intelligenceImage sensorbusiness
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A Bayesian Multilevel Random-Effects Model for Estimating Noise in Image Sensors

2020

Sensor noise sources cause differences in the signal recorded across pixels in a single image and across multiple images. This paper presents a Bayesian approach to decomposing and characterizing the sensor noise sources involved in imaging with digital cameras. A Bayesian probabilistic model based on the (theoretical) model for noise sources in image sensing is fitted to a set of a time-series of images with different reflectance and wavelengths under controlled lighting conditions. The image sensing model is a complex model, with several interacting components dependent on reflectance and wavelength. The properties of the Bayesian approach of defining conditional dependencies among parame…

FOS: Computer and information sciencesMean squared errorC.4Computer scienceBayesian probabilityG.3ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInference02 engineering and technologyBayesian inferenceStatistics - Applications0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Electrical and Electronic EngineeringImage sensorI.4.1C.4; G.3; I.4.1Pixelbusiness.industryImage and Video Processing (eess.IV)020206 networking & telecommunicationsPattern recognitionStatistical modelElectrical Engineering and Systems Science - Image and Video ProcessingRandom effects modelNoise62P30 62P35 62F15 62J05Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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Smart camera design for intensive embedded computing

2005

Computer-assisted vision plays an important role in our society, in various fields such as personal and goods safety, industrial production, telecommunications, robotics, etc. However, technical developments are still rare and slowed down by various factors linked to sensor cost, lack of system flexibility, difficulty of rapidly developing complex and robust applications, and lack of interaction among these systems themselves, or with their environment. This paper describes our proposal for a smart camera with real-time video processing capabilities. A CMOS sensor, processor and, reconfigurable unit associated in the same chip will allow scalability, flexibility, and high performance.

Flexibility (engineering)CMOS sensorbusiness.industryComputer scienceIndustrial productionRoboticsVideo processingEmbedded systemSignal ProcessingScalabilityComputer Vision and Pattern RecognitionSmart cameraArtificial intelligenceElectrical and Electronic EngineeringImage sensorbusinessReal-Time Imaging
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