Search results for "OPTICS"

showing 10 items of 10033 documents

Improving color correction across camera and illumination changes by contextual sample selection

2012

International audience; In many tasks of machine vision applications, it is important that recorded colors remain constant, in the real world scene, even under changes of the illuminants and the cameras. Contrary to the human vision system, a machine vision system exhibits inadequate adaptability to the variation of lighting conditions. Automatic white bal- ance control available in commercial cameras is not sufficient to pro- vide reproducible color classification. We address this problem of color constancy on a large image database acquired with varying digi- tal cameras and lighting conditions. A device-independent color repre- sentation may be obtained by applying a chromatic adaptation…

Color Constancy[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingColor normalizationMachine visionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balance02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic EngineeringContextual improvement. Medical applicationsColor constancybusiness.industryColor correctionImage segmentationAtomic and Molecular Physics and OpticsComputer Science ApplicationsChromatic adaptationRGB color model020201 artificial intelligence & image processingArtificial intelligenceSPIEbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Multichannel single-output color pattern recognition by use of a joint-transform correlator.

1996

A novel method for performing color image recognition by the use of the coherent joint-transform correlator is introduced. The input plane of the proposed method is a spatial rearrangement of the separation into color channels of both the color input scene and the color target. This input plane is gray scaled and monochromatic, thus it can be displayed by the use of amplitude spatial light modulators to achieve real-time operation. The system provides a single output-plane result of the optical coherent addition of the separate channels’ correlation outputs. At the output plane no electronic postprocessing is needed, and the detection decision is achieved simply by the application of thresh…

Color histogramChannel (digital image)Color normalizationComputer sciencebusiness.industryColor imageMaterials Science (miscellaneous)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionIndustrial and Manufacturing EngineeringOpticsBand-pass filterColor depthColor filter arrayMonochromatic colorArtificial intelligenceBusiness and International ManagementbusinessApplied optics
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Multi-channel chromatic transformations for nonlinear color pattern recognition

2002

We present a new approach for color pattern recognition based on multi-channel nonlinear correlations. High discrimination capability is obtained in comparison with common linear multi-channel detection methods. We apply the nonlinear morphological correlation to different color channel decompositions as RGB and ATD channels. Moreover, in order to improve the discrimination we have introduced a new color transformation. When a high selectivity is required, the combination of the nonlinear correlation and the new color decomposition yields to detect the object using just a single channel. Simulation results are provided.

Color histogramChannel (digital image)business.industryComputer scienceColor imageColor normalizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balancePattern recognitionImage processingHSL and HSVColor spaceAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsOpticsRGB color modelArtificial intelligenceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessComputer Science::Information TheoryOptics Communications
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Color and Flow Based Superpixels for 3D Geometry Respecting Meshing

2014

We present an adaptive weight based superpixel segmentation method for the goal of creating mesh representation that respects the 3D scene structure. We propose a new fusion framework which employs both dense optical flow and color images to compute the probability of boundaries. The main contribution of this work is that we introduce a new color and optical flow pixel-wise weighting model that takes into account the non-linear error distribution of the depth estimation from optical flow. Experiments show that our method is better than the other state-of-art methods in terms of smaller error in the final produced mesh.

Color histogramComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow010103 numerical & computational mathematics02 engineering and technologyImage segmentation01 natural sciencesWeightingDistribution (mathematics)[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Flow (mathematics)Computer Science::Computer Vision and Pattern Recognition[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligence0101 mathematicsbusinessRepresentation (mathematics)Adaptive opticsComputingMilieux_MISCELLANEOUS
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Karhunen-Loe`ve transform applied to region-based segmentation of color aerial images

2001

The use of the Karhunen-Loeve transform (KLT) for region- based segmentation of aerial images by color and textural attributes is presented. Our aerial images are shown to be homogeneous color im- ages within the Karhunen-Loeve color representation space, which means they can be represented more easily and the region-based seg- mentation algorithms can be optimized. For texture analysis, the KLT is the basis of the local linear transform (LLT) and allows structural infor- mation about textures to be represented in an optimal and condensed manner. The LLT provides a system of textural analysis in the form of an adapted filter bank. We end the paper by presenting a method for merg- ing textur…

Color histogramContextual image classificationColor imagebusiness.industryComputer scienceGeneral EngineeringScale-space segmentationImage processingImage segmentationAtomic and Molecular Physics and OpticsImage textureRGB color modelComputer visionSegmentationArtificial intelligencebusinessOptical Engineering
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Application of the S-CIELAB color model to processed and calibrated images with a colorimetric dithering method.

2009

This work uses the S-CIELAB color model to compare images that have been calibrated and processed using a colorimetric dithering method which simulates increments in viewing distance. Firstly, we obtain XYZ calibrated images by applying the appropriate color transformations to the original images. These transformations depend on whether the image is viewed on a display device or encoded by a capture device, for example. Secondly, we use a colorimetric dithering method consisting of a partitive additive mixing of XYZ tristimulus values. The number of dithered pixels depends on simulated viewing distance. The dithered tristimulus values are transformed to digital data to observe the dithering…

Color histogramPixelColor differencebusiness.industryComputer scienceColor imageColor normalizationDigital imagingColor balanceColor spaceAtomic and Molecular Physics and OpticsColor quantizationColor modelOpticsICC profileColor depthRGB color modelColor filter arrayDitherbusinessColorimetryImage resolutionOptics express
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On the uniform sampling of CIELAB color space and the number of discernible colors

2013

This paper presents a useful algorithmic strategy to sample uniformly the CIELAB color space based on close packed hexagonal grid. This sampling scheme has been used successfully in different research works from computational color science to color image processing. The main objective of this paper is to demonstrate the relevance and the accuracy of the hexagonal grid sampling method applied to the CIELAB color space. The second objective of this paper is to show that the number of color samples computed depends on the application and on the color gamut boundary considered. As demonstration, we use this sampling to support a discussion on the number of discernible colors related to a JND.

Color histogram[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputational color imagingColor balance[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyperceptually uniform color spaceColor space01 natural sciences010309 optics[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingICC profile0103 physical sciencesColor depth[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering3D close packed hexagonal gridComputer visionSamplingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingComputingMethodologies_COMPUTERGRAPHICSMathematicsColor differencebusiness.industry020207 software engineeringColor quantizationColor modelArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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The goldfish--a colour-constant animal.

1996

A series of either thirteen or fifteen coloured test fields with hues from blue through grey to yellow were presented on a black background. Goldfish were trained on a bluish-grey test field by food reward. In the training situation, the setup with the coloured papers was illuminated with white light. In the test situation, the colour of the illumination was changed to blue or yellow. In both test illuminations the goldfish preferred the training field in the same way as under white illumination despite the fact that this test field stimulated the cone types very differently from the training situation. As test fields were present that excited the cones in exactly the same way as under whi…

Color visionExperimental and Cognitive PsychologyRetinal Cone Photoreceptor Cells050105 experimental psychologyDiscrimination Learning03 medical and health sciences0302 clinical medicineOpticsArtificial IntelligenceGoldfishWhite lightPsychophysicsPsychophysicsAnimals0501 psychology and cognitive sciencesLightingMathematicsHueAppetitive Behaviorbusiness.industry05 social sciencesSensory SystemsOphthalmologyRetinal Cone Photoreceptor CellsConstant (mathematics)business030217 neurology & neurosurgeryColor PerceptionPerception
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An ultraviolet receptor as a fourth receptor type in goldfish color vision

1985

Color visionbusiness.industryColour VisionGeneral MedicineBiologyReceptor typemedicine.disease_causeSpectral sensitivityOpticsmedicineOptoelectronicsbusinessReceptorUltraviolet radiationEcology Evolution Behavior and SystematicsUltravioletNaturwissenschaften
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Overview of the Evolution of Silica-Based Chromo-Fluorogenic Nanosensors

2019

[EN] This review includes examples of silica-based, chromo-fluorogenic nanosensors with the aim of illustrating the evolution of the discipline in recent decades through relevant research developed in our group. Examples have been grouped according to the sensing strategies. A clear evolution from simply functionalized materials to new protocols involving molecular gates and the use of highly selective biomolecules such as antibodies and oligonucleotides is reported. Some final examples related to the evolution of chromogenic arrays and the possible use of nanoparticles to communicate with other nanoparticles or cells are also included. A total of 64 articles have been summarized, highlight…

ColorNanoparticleNanotechnologyReviewMesoporous010402 general chemistry01 natural sciencesBiochemistryFluorescencegated materialsAnalytical ChemistryQUIMICA ORGANICAMolecular recognitionsensorNanosensorarraysGated materialsElectrical and Electronic EngineeringArraysInstrumentationSensorchemistry.chemical_classification010405 organic chemistryChemistryChromogenicOligonucleotideBiomoleculeQUIMICA INORGANICASilicaHighly selectiveAtomic and Molecular Physics and Opticscolor0104 chemical sciencessilicaNanoparticlesnanoparticlesfluorescencemolecular recognitionMolecular recognitionmesoporousMesoporous materialSensors
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