Search results for "Contextual improvement. Medical applications"

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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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