Search results for "Machine Vision"

showing 10 items of 76 documents

Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits

2008

This study proposes a method for correcting the adverse effects produced by the curvature of spherical objects in acquiring images with a computer vision system. Its suitability has been illustrated in a specific case of citrus fruits. The images of this kind of fruit are darker in areas nearer the edge than in the centre, and this makes them more difficult to analyse. This methodology considers the fruit as being a Lambertian ellipsoidal surface and produces a 3D model of the fruit. By doing it becomes possible to calculate the part of the radiation that should really reach the camera and to make the intensity of the radiation uniform over the whole of the fruit surface captured by the cam…

Surface (mathematics)PixelMachine visionbusiness.industryHyperspectral imagingCurvatureEllipsoidStandard deviationComputer visionArtificial intelligencebusinessIntensity (heat transfer)Food ScienceMathematics
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Design and Simulation of a Vision-Based Automatic Trout Fish-Processing Robot

2021

Today, industrial automation is being applied in a wide range of fields. The initial modeling of robots and mechanical systems together with simulation results in optimal systems. In this study, the designed system is simulated to obtain the required velocities, accelerations and torques of the actuating arms in a vision-based automatic system. Due to the slippery skin of fish and the low friction coefficient, it is not easy to design an optimal tool to handle fish. Since the fish-processing operation is undertaken step by step and provides fish stability, it is essential that the gripper enables different processing operations along the system. The proposed system performs belly-cutting, b…

Technology0209 industrial biotechnologyQH301-705.5Machine visionComputer scienceQC1-999Enginyeria02 engineering and technology020901 industrial engineering & automationElectrònicaControl theoryRange (aeronautics)TorqueGeneral Materials ScienceBiology (General)QD1-999InstrumentationFish processingAutomatitzaciófish processing machineFluid Flow and Transfer Processestroutbusiness.industryTPhysicsProcess Chemistry and TechnologyGeneral Engineering04 agricultural and veterinary sciencesEngineering (General). Civil engineering (General)simulationAutomationVisió artificial (Robòtica)Computer Science ApplicationsMechanical systemChemistry040102 fisheries0401 agriculture forestry and fisheriesRobotvision based systemTA1-2040ActuatorbusinessApplied Sciences
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A SOM/ARSOM Hierarchy for the Description of Dynamic Scenes

2001

A neural architecture is presented, aimed to describe the dynamic evolution of complex structures inside a video sequence. The proposed system is arranged as a tree of self-organizing maps. Leaf nodes are implemented by ARSOM networks as a way to code dynamic inputs, while classical SOM's are used to implement the upper levels of the hierarchy. Depending on the application domain, inputs are made by suitable low level features extracted frame by frame of the sequence. Theoretical foundations of the architecture are reported along with a detailed outline of its structure, and encouraging experimental results.

Theoretical computer scienceApplication domainbusiness.industryComputer scienceMachine visionArtificial intelligencebusinessTree (graph theory)
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The Intangible Assets Advantages in the Machine Vision Inspection of Thermoplastic Materials

2017

Abstract Innovation is not a simple concept but is the main source of success. It is more important to have the right people and mindsets in place than to have a perfectly crafted plan in order to make the most out of an idea or business. The aim of this paper is to emphasize the importance of intangible assets when it comes to machine vision inspection of thermoplastic materials pointing out some aspects related to knowledge based assets and their need for a success idea to be developed in a successful product.

Thermoplastic materialsMachine visionGeneral MedicineBusinessManufacturing engineeringIntellectual capitalACTA Universitatis Cibiniensis
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A novel active contour model for unsupervised low-key image segmentation

2013

Published version of an article in the journal: Central European Journal of Engineering. Also available from the publisher at: http://dx.doi.org/10.2478/s13531-012-0050-0 Unsupervised image segmentation is greatly useful in many vision-based applications. In this paper, we aim at the unsupervised low-key image segmentation. In low-key images, dark tone dominates the background, and gray level distribution of the foreground is heterogeneous. They widely exist in the areas of space exploration, machine vision, medical imaging, etc. In our algorithm, a novel active contour model with the probability density function of gamma distribution is proposed. The flexible gamma distribution gives a bet…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Environmental EngineeringComputer scienceMachine visionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAerospace EngineeringInitializationScale-space segmentationProbability density functionGamma distributionGeneral Materials ScienceComputer visionactive contour modelElectrical and Electronic Engineeringimage segmentationCivil and Structural EngineeringActive contour modellow-key imageSegmentation-based object categorizationbusiness.industryMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570Pattern recognitionImage segmentationEngineering (General). Civil engineering (General)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligenceTA1-2040businessOpen Engineering
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A heterogeneous and reconfigurable machine-vision system

1995

This paper describes a new machine-vision system, a HERMIA heterogeneous and reconfigurable machine for image analysis. The architecture topology of the HERMIA machine is reconfigurable; moreover, the integration of its special modules allows a search for optimal strategies to solve vision problems. The general architecture and the hardware implementation are described. The software environment of the HERMIA machine provides a full iconic interface and a pictorial language oriented to vision in multiprocessor architectures. The preliminary system evaluation and applications are shown. © 1995 Springer-Verlag.

Visual languageSettore INF/01 - InformaticaIconic environmentMachine visionComputer Science ApplicationsHuman-Computer InteractionHardware and ArchitectureControl and Systems EngineeringArtificial IntelligenceParallel processingReconfigurabilityComputer Vision and Pattern RecognitionImage analysiHeterogeneityElectrical and Electronic EngineeringSoftware1707
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A Posture Sequence Learning System for an Anthropomorphic Robotic Hand

2003

The paper presents a cognitive architecture for posture learning of an anthropomorphic robotic hand. Our approach is aimed to allow the robotic system to perform complex perceptual operations, to interact with an human user and to integrate the perceptions by a cognitive representation of the scene and the observed actions. The anthropomorphic robotic hand imitates the gestures acquired by the vision system in order to learn meaningful movements, to build its knowledge by different conceptual spaces and to perform complex interaction with the human operator.

Visual perceptionHand posture recognitionComputer scienceMachine visionGeneral Mathematicsmedia_common.quotation_subjectHuman–computer interfaceHuman-computer interfaceRobotics; Imitation learning; Machine learningHuman–computer interactionPerceptionMachine learningComputer visionConceptual spacesmedia_commonConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryVisual perceptionImitation learningRepresentation (systemics)CognitionCognitive architectureComputer Science ApplicationsRoboticControl and Systems EngineeringSequence learningArtificial intelligencebusinessSoftwareGesture
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Insect brains use image interpolation mechanisms to recognise rotated objects.

2008

Recognising complex three-dimensional objects presents significant challenges to visual systems when these objects are rotated in depth. The image processing requirements for reliable individual recognition under these circumstances are computationally intensive since local features and their spatial relationships may significantly change as an object is rotated in the horizontal plane. Visual experience is known to be important in primate brains learning to recognise rotated objects, but currently it is unknown how animals with comparatively simple brains deal with the problem of reliably recognising objects when seen from different viewpoints. We show that the miniature brain of honeybees…

Visual perceptionInsectaComputer Science/Natural and Synthetic VisionMachine visionVisual Physiologylcsh:MedicineImage processingBiologyVisual memoryAnimalsHumansComputer visionlcsh:ScienceMultidisciplinaryNeuroscience/Behavioral Neurosciencebusiness.industrylcsh:RCognitive neuroscience of visual object recognitionNeuroscience/Animal CognitionBrainBeesObject (philosophy)Pattern Recognition VisualPattern recognition (psychology)Visual Perceptionlcsh:QArtificial intelligencebusinessResearch ArticlePLoS ONE
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Visual dynamic environment for distributed systems

2002

Algorithms, based on information fusion, are often embodied in visual perception systems. Distributed architectures have been recently proposed to perform integrated computation. The complexity of distributed systems regards both their design, and the software environment to develop applications. Visual and iconic programming style intends to provide expressive tools to implement, to debug, and to execute programs in distributed environment. Multi-layers graphs languages seem suitable to handle such complexity. This paper describes the design of a visual dynamic environment (VDE), which is based on a graph-grammar. A new class of dynamic visual interfaces is also introduced, and its propert…

Visual perceptionSettore INF/01 - Informaticabusiness.industryMachine visionComputer scienceDistributed computingmedia_common.quotation_subjectComputer Science (all)Programming styleSoftwareDebuggingDistributed algorithmGraph (abstract data type)businessmedia_commonVisual programming language
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What Conclusions does Rapid Image Classification by Eye Movements Provide for Machine Vision?

2008

Human ability to rapidly classify images of natural objects has been a matter of study for more than a decade. Recently eye movements have been exploited as a behavioural response, which has lead to alternative hypotheses of natural image processing. In this research, twelve volunteers made a movement towards a briefly displayed digital image if it was an animal, and a movement away otherwise. In both cases, the average response time was more than 400 milliseconds.

VogDigital imageGeographyContextual image classificationbusiness.industryMovement (music)Machine visionNatural (music)Eye movementComputer visionImage processingArtificial intelligencebusiness
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