Search results for "Color imaging"

showing 6 items of 6 documents

Design of a customized pattern for improving color constancy across camera and illumination changes

2010

International audience; This paper adresses the problem of color constancy on a large image database acquired with varying digital cameras and lighting conditions. Automatic white balance control proposed by an available commercial camera is not sufficient to provide reproducible color classification. A device-independent color representation may be obtained by applying a chromatic adaptation transform, from a calibrated color checker pattern included in the field of view. Instead of using the standard Macbeth color checker, we suggest to select judicious colors to design a customized pattern from contextual information. A comparative study demonstrates that this approach insures a stronger…

chromatic adaptationComputer scienceColor normalizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balanceField of view02 engineering and technologyVision control[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]030218 nuclear medicine & medical imaging03 medical and health sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine0202 electrical engineering electronic engineering information engineeringContextual informationComputer visionColor representationColor constancybusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Color imagingChromatic adaptationchromatic adaptation.color checker design020201 artificial intelligence & image processingArtificial intelligencebusiness
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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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Review of the chromatic subjects about image capture (II)

2002

Este trabajo aborda la problemática general de la reproducción del color que se genera en dispositivos de captura (escáneres y cámaras). Se expuso en la primera parte de este trabajo que los dispositivos de captura no son directamente instrumentos de medida del color debido a la opción tecnológica sistemáticamente usada en el diseño de sus sensibilidades espectrales. Por tanto, se estudian en esta segunda sección las opciones posibles de transformación de color o perfil colorimétrico entre el espacio RGB dependiente de estos dispositivos y el espacio estándar CIE-1931 XYZ. Esto conlleva a su vez una revisión de los algoritmos existentes para evaluar el grado de exactitud colorimétrica conse…

Reproducción y medida del colorDigital photographyTecnología del colorFotografía digitalColor imagingColor reproduction and measurementÓptica
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Automatic cell nuclei counting: a protocol to acquire images and to compare results between color and multispectral images

2013

International audience; High-throughput screening in histology and analysis need a necessary automatic cell or nucleus counting. Current methods and systems based on grayscale or color images give results with counting errors. We suggest to use multispectral imaging (with more than three bands) rather than color one for nucleus counting. A traditional acquisition chains uses a source of white light and a CCD camera in addition to the optical microscope. To pass to a multispectral acquisition, we use a Programmable Light Source (PLS) in the place of the white light source. This PLS is capable of generating different wavelengths in the visible spectrum. So, one color image and four multispect…

Automatic cell nuclei detection[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingacquisition protocolmultispectral imagingimage calibration[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingcolor imaging[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Perceptual similarity between color images using fuzzy metrics

2016

A method to measure the similarity between color images is proposed.Correlation among the color image channels is taken into account.Proposed similarity measure is based on fuzzy metrics because of their advantages.The proposal matches well with the perceptual visual similarity between color images. In many applications of the computer vision field measuring the similarity between (color) images is of paramount importance. However, the commonly used pixelwise similarity measures such as Mean Absolute Error, Peak Signal to Noise Ratio, Mean Squared Error or Normalized Color Difference do not match well with perceptual similarity. Recently, it has been proposed a method for gray-scale image s…

Color histogramMean squared errorColor similarityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySimilarity measureFuzzy logicLow level image processingFuzzy metricsSimilarity (network science)0202 electrical engineering electronic engineering information engineeringMedia TechnologyComputer visionElectrical and Electronic EngineeringMathematicsPerceptual image similarityColor differencebusiness.industryColor image020206 networking & telecommunicationsPattern recognitionColor imagingPeak signal-to-noise ratioPerceptual observationsColor image qualityFuzzy logicComputer Science::Computer Vision and Pattern RecognitionSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessJournal of Visual Communication and Image Representation
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Sa1892 LINKED COLOR IMAGING REDUCES THE MISS RATE OF NEOPLASTIC LESIONS IN THE RIGHT COLON: A RANDOMIZED TANDEM COLONOSCOPY STUDY

2018

Miss ratemedicine.medical_specialtybusiness.industryGastroenterologymedicineRadiology Nuclear Medicine and imagingColor imagingRadiologybusinessColonoscopy StudyGastrointestinal Endoscopy
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