Search results for "Color normalization"

showing 8 items of 8 documents

Corresponding-pair procedure: a new approach to simulation of dichromatic color perception.

2004

The dichromatic color appearance of a chromatic stimulus T can be described if a stimulus S is found that verifies that a normal observer experiences the same sensation viewing S as a dichromat viewing T. If dichromatic and normal versions of the same color vision model are available, S can be computed by applying the inverse of the normal model to the descriptors of T obtained with the dichromatic model. We give analytical form to this algorithm, which we call the corresponding-pair procedure. The analytical form highlights the requisites that a color vision model must verify for this procedure to be used. To show the capabilities of the method, we apply the algorithm to different color vi…

BrightnessVisual perceptionComputer sciencebusiness.industryColor visionColor normalizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balanceColor spaceAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsColor modelOpticsComputer visionComputer Vision and Pattern RecognitionChromatic scaleArtificial intelligencebusinessJournal of the Optical Society of America. A, Optics, image science, and vision
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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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Mathematical Morphology for Color Images: An Image-Dependent Approach

2012

This paper proposes one possibility to generalize the morphological operations (particularly, dilation, erosion, opening, and closing) to color images. First, properties of a desirable generalization are stated and a brief review is done on former approaches. Then, the method is explained, which is based on a total ordering of the colors in an image induced by its color histogram; this is valid for just one image and may present problems in smoothly coloured images. To solve these drawbacks a refinement consisting of smoothing the histogram and using a joint histogram of several images is presented. Results of applying the so-defined morphological operations on several sets of images are sh…

Color histogramArticle Subjectbusiness.industryColor normalizationGeneral Mathematicslcsh:MathematicsGeneral EngineeringHistogram matchingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematical morphologylcsh:QA1-939lcsh:TA1-2040HistogramComputer Science::Computer Vision and Pattern RecognitionDilation (morphology)Computer visionArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)SmoothingHistogram equalizationMathematicsComputingMethodologies_COMPUTERGRAPHICSMathematical Problems in Engineering
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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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A neural network based automatic road signs recognizer

2003

Automatic road sign recognition systems are aimed at detection and recognition of one or more road signs from real-world color images. In this research, road signs are detected and extracted from real world scenes on the basis of their color and shape features. A dynamic region growing technique is adopted to enhance color segmentation results obtained in the HSV color space. The technique is based on a dynamic threshold that reduces the effect of hue instability in real scenes due to external brightness variation. Classification is then performed on extracted candidate regions using multilayer perceptron neural networks. The obtained results show good detection and recognition rates of the…

Color histogramPixelArtificial neural networkColor normalizationComputer scienceColor imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionPattern recognitionHSL and HSVImage segmentationRegion growingSegmentationComputer visionArtificial intelligencebusinessHue
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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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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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