Search results for "Color difference"

showing 10 items of 20 documents

Effect of finishing and polishing systems on the surface roughness and color change of composite resins

2020

Background This study is to examine the surface roughness and color changes occurring on composite resins following the application of different finishing and polishing systems. Material and Methods In our study, a total of 200 samples were prepared from composites resin (6×2 mm) containing supra-nano, submicron hybrid, nanohybrid, nano-ceramic and microhybrid filler. They were polished with diamond, aluminum oxide, silicon carbide finishing and polishing systems. The initial color values of composite samples were measured with a spectrophotometer and surface roughness values with a profilometer. After that, samples were immersed of coffee solution and color measurements were repeated on th…

Materials scienceColor differenceResearchComposite numberDiamondPolishingEsthetic Dentistry030206 dentistryengineering.material03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistryColor changesengineeringSurface roughnessSilicon carbide030211 gastroenterology & hepatologyProfilometerComposite materialGeneral DentistryUNESCO:CIENCIAS MÉDICASJournal of Clinical and Experimental Dentistry
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Effect of water-jet flossing on surface roughness and color stability of dental resin-based composites.

2019

Background The purpose of this in vitro study was to investigate the effects of water-jet flossing on the color stability and surface roughness of five resin-based composites. Material and methods Five commercially available composite resins were studied. Nine disc-shaped specimens (6x2mm) were fabricated from each composite. The specimens were randomly allocated into three groups and three different treatments were performed on each group: storage in water (control group), water-jet flossing using 50 Psi water pressure, and water-jet flossing using 100 Psi water pressure. The water-jet flossing was performed in a standardized manner using a Waterpik® Aquarius® water flosser. Color and roug…

Materials scienceColor differenceResin composite0206 medical engineeringComposite numberWater jet030206 dentistry02 engineering and technologySurface finishWater pressure:CIENCIAS MÉDICAS [UNESCO]020601 biomedical engineering03 medical and health sciences0302 clinical medicineUNESCO::CIENCIAS MÉDICASSurface roughnessIn vitro studyComposite materialGeneral DentistryJournal of clinical and experimental dentistry
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Color Difference Thresholds in Dentistry

2015

Purpose The aim of this prospective multicenter study was to determine 50:50% perceptibility threshold (PT) and 50:50% acceptability threshold (AT) of dental ceramic under simulated clinical settings. Materials and Methods The spectral radiance of 63 monochromatic ceramic specimens was determined using a non-contact spectroradiometer. A total of 60 specimen pairs, divided into 3 sets of 20 specimen pairs (medium to light shades, medium to dark shades, and dark shades), were selected for psychophysical experiment. The coordinating center and seven research sites obtained the Institutional Review Board (IRB) approvals prior the beginning of the experiment. Each research site had 25 observers,…

Multicenter studyColor differencebusiness.industryDental researchStatistical significanceClinical performanceStatistical differenceMedicineDentistryClinical settingsbusinessGeneral DentistryShade matchingJournal of Esthetic and Restorative Dentistry
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Chromostereopsis in "virtual reality" adapters with electrically tuneable liquid lens oculars

2016

Chromostereopsis can be sight and feel in “Virtual Reality” adapters, that induces the appearance of color dependant depth sense and, finally, combines this sense with the source conceived depth scenario. Present studies are devoted to investigation the induced chromastereopsis when using adapted “Virtual Reality” frame together with mobile devices as smartphones. We did observation of composite visual stimuli presented on the high spatial resolution screen of the mobile phone placed inside a portable “Virtual Reality” adapter. Separated for the left and right eyes stimuli consisted of two areas: a) identical for both eyes color chromostereopsis part, and b) additional conventional color ne…

Visual perceptionChromostereopsisColor differenceComputer sciencebusiness.industryColor visionMagnificationVirtual reality01 natural sciences010309 opticsSight03 medical and health sciences0302 clinical medicineStereopsisOptics0103 physical sciencesComputer visionArtificial intelligencebusiness030217 neurology & neurosurgerySPIE Proceedings
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Color memory in children

2008

The methods of simultaneous and memory color matching have been studied for a set of five Munsell color samples by 50 children, 25 boys and 25 girls (ranging in age from 9 to 11 years). By comparison between this group and one of 50 young adult observers, we can deduce the following: (a) In children, as in young adults, the mean CIELAB total color difference, ΔE*ab, in simultaneous color matching is lower than the ΔE*ab by memory color matching. (b) Children matched reference test worse than young adults for orange, bluish green (only boys and men) and yellow green (only girls and women). (c) While men remember, independently of age and delay time, violet reference test worse than women (P …

Reference testmedicine.medical_specialtyColor differenceGeneral Chemical EngineeringmedicineColor testHuman Factors and ErgonomicsGeneral ChemistryColor matchingAudiologyPsychologyDelay timeDevelopmental psychologyColor Research & Application
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Color difference threshold of chromostereopsis induced by flat display emission

2015

The study of chromostereopsis has gained attention in the backdrop of the use of computer displays in daily life. In this context, we analyze the illusory depth sense using planar color images presented on a computer screen. We determine the color difference threshold required to induce an illusory sense of depth psychometrically using a constant stimuli paradigm. Isoluminant stimuli are presented on a computer screen, which stimuli are aligned along the blue–red line in the computer display CIE xyY color space. Stereo disparity is generated by increasing the color difference between the central and surrounding areas of the stimuli with both areas consisting of random dots on a black backgr…

Point spread functionChromostereopsisstereo disparityColor differencePixelgenetic structuresbusiness.industrylcsh:BF1-990eye chromatic aberrationsContext (language use)Pupilfusion of retinal imageslcsh:PsychologyPlanarperception thresholdColor chartPsychologychromostereopsisComputer visionArtificial intelligenceStereodisparitybusinessPsychologyGeneral PsychologyOriginal ResearchFrontiers in Psychology
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Multi-level contrast filtering in image difference metrics

2013

In this paper, we present a new metric to estimate the perceived difference in contrast between an original image and a reproduction. This metric, named weighted-level framework Δ E E (WLF-DEE), implements a multilevel filtering based on the difference of Gaussians model proposed by Tadmor and Tolhurst (2000) and the new Euclidean color difference formula in log-compressed OSA-UCS space proposed by Oleari et al. (2009). Extensive tests and analysis are presented on four different categories belonging to the well-known Tampere Image Database and on two databases developed at our institution, providing different distortions directly related to color and contrast. Comparisons in performance wi…

Difference of GaussiansColor differenceBiometricsbusiness.industryComputer scienceContrast (statistics)Pattern recognitionImage (mathematics)Metric (mathematics)Pattern recognition (psychology)Euclidean geometrySignal ProcessingArtificial intelligenceElectrical and Electronic EngineeringbusinessInformation SystemsEURASIP Journal on Image and Video Processing
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Colorimetric Characterization of Mobile Devices for Vision Applications

2015

Purpose: Available applications for vision testing in mobile devices usually do not include detailed setup instructions, sacrificing rigor to obtain portability and ease of use. In particular, colorimetric characterization processes are generally obviated. We show that different mobile devices differ also in colorimetric profile and that those differences limit the range of applications for which they are most adequate. Methods: The color reproduction characteristics of four mobile devices, two smartphones (Samsung Galaxy S4, iPhone 4s) and two tablets (Samsung Galaxy Tab 3, iPad 4), have been evaluated using two procedures: 3D LUT (Look Up Table) and a linear model assuming primary constan…

Computer scienceColor reproductionColorSoftware portabilityRange (statistics)HumansComputer visionIndependence (probability theory)ÓpticaColor differencebusiness.industryVision TestsUsabilityColorimetric characterizationOphthalmologyScreenComputers HandheldLookup tableLinear Models3D lookup tableColorimetryArtificial intelligenceSmartphonebusinessTabletMobile deviceOptometry
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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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An adaptive-PCA algorithm for reflectance estimation from color images

2008

This paper deals with the problem of spectral reflectance estimation from color camera outputs. Because the reconstruction of such functions is an inverse problem, stabilizing the reconstruction process is highly desirable. One way to do this is to decompose reflectance function on a basis functions like PCA. The present work proposes an algorithm making PCA adaptive in reflectance estimation from a color camera output. We propose to adapt the PCA basis derivation by selecting, for each sample, the more relevant elements from the training set elements. The adaptivity criterion is achieved by a likelihood measurement. Finally, the spectral reflectance estimation results are evaluated with th…

Basis (linear algebra)Color differenceEstimation theorybusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBasis functionPattern recognitionIterative reconstructionInverse problemSample (graphics)Principal component analysisArtificial intelligencebusinessAlgorithmMathematics2008 19th International Conference on Pattern Recognition
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