Color measurement

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Werner Rudolf Cramer

Abstract Our color perception is characterized by subjective influences. Color measurement enables an objective description of colors. In this process, white light is sent onto a color sample and the reflected rays are measured as a percentage compared to a white standard. The physiological standard color values are first calculated from the physical measured values by standardized conversions. From these, the L*a*b* values can be determined as they are given by the CIE (Commission Internationale de l’Éclairage). While one geometry is sufficient for color pigments to describe them, several defined geometries are required for aluminum and interference pigments. These geometries (illumination and observation angles) are specified for the different measuring instruments.

2000 ◽  
Vol 12 (6) ◽  
pp. 1001-1012 ◽  
Author(s):  
Erich Kasten ◽  
Dorothe A. Poggel ◽  
Bernhard A. Sabel

In a previously conducted randomized placebo-controlled trial, we were able to demonstrate significant visual field enlargement induced by restitution therapy in patients with cerebral lesions [Kasten, E., Wuest, S., Behrens-Bamann, W., & Sabel, B. A. (1998c). Computer-based training for the treatment of partial blindness. Nature Medicine, 4, 1083-1087.]. Visual field training was performed on a computer monitor for 1 hr per day over a period of 6 months. Since the procedure included only stimulation with white light, in the present study we investigated if this simple detection training had a transfer effect on color or form recognition in the trained area (i.e., in the absence of modality specific training). Answering this question would be crucial for planning optimal restitution therapy: In case there is no transfer of training effects to other visual modalities, a specific treatment of each visual function must be performed in order to achieve maximum benefit. Therefore, we analyzed the data from 32 patients with visual field defects who had participated in the original trial and whose form and color recognition had been investigated. The experimental group (n = 19, restitution training) experienced not only an increase of 12.8% correctly detected stimuli (PeriMa program, p < .05), but also an improvement of 5.6% in pattern recognition (PeriForm) and of 6.1% in color perception (PeriColor), respectively. In contrast, the placebo group (n = 13, fixation training) showed no significant changes from baseline to final outcome in any of the visual modalities (PeriMa: 0.3%; PeriForm: -0.3%; PeriColor: 0.4%). Conventional perimetry yielded an increase of 7.8% detected stimuli in the experimental group, but only of 1.2% in the placebo group (p < .05). For form recognition and color perception, the differences between the results of the experimental and the placebo groups narrowly missed significance. However, correlations of diagnostic results showed that mainly those patients who had achieved visual field enlargement also improved in color and form perception: r = .67 (p < .05) between PeriMa and PeriForm and r = .32 between PeriMa and PeriColor. We conclude that visual restitution training using a simple white light stimulus has at least some influence on improving other visual functions such as color and pattern recognition. This result supports the “bottleneck theory” of visual restitution, i.e., training effects can be explained as a process of perceptual learning and increased processing of information by residual structures surviving lesions of the primary visual pathways.


2017 ◽  
Vol 18 (8) ◽  
pp. 683-687
Author(s):  
Deepak Mehta ◽  
Nishant Gupta ◽  
Rohit M Shetty ◽  
Adarsh N Bhat ◽  
Gopalakrishna Srivatsa ◽  
...  

ABSTRACT Aim The aim of this study is to compare the color space of Vita Lumin shade guide (SG) with the natural teeth of the local population. Materials and methods A total of 100 maxillary central incisors (100 patients) were subjected to color measurement with a spectrocolorimeter. For each tooth, L*, a*, b* values were recorded. All the shade tabs of Vita Lumin SG were analyzed with a spectrocolorimeter to define the color space covered by the Vita Lumin SG. The L*a*b* values of natural teeth were plotted on separate scattered diagrams and compared. Results About two out of three attributes (luminance and blue spectrum) of the local population of Bengaluru displayed a broader range than those available in Vita Lumin SG. Conclusion The local population requires an SG with an extended range, covering a higher luminance spectrum and broader blue spectrum. Clinical significance Esthetic restorations require accurate shade matching with the adjacent natural teeth, SGs being the mean of shade selection and communication should be comparable to the natural teeth. How to cite this article Shetty RM, Bhat AN, Gupta N, Mehta D, Srivatsa G, Singh I. Comparison between Color Spaces of Vita Lumin Shade Guide with Natural Teeth in Bengaluru Population using Spectrocolorimeter: An in vivo Study. J Contemp Dent Pract 2017;18(8):683-687.


2011 ◽  
Vol 21 (4) ◽  
pp. 61 ◽  
Author(s):  
Dominique Lafon ◽  
Tahiana Ramananantoandro

The goal of this article is to present specific capabilities and limitations of the use of color digital images in a characterization process. The whole process is investigated, from the acquisition of digital color images to the analysis of the information relevant to various applications in the field of material characterization. A digital color image can be considered as a matrix of pixels with values expressed in a vector-space (commonly 3 dimensional space) whose specificity, compared to grey-scale images, is to ensure a coding and a representation of the output image (visualisation printing) that fits the human visual reality. In a characterization process, it is interesting to regard color image attnbutes as a set of visual aspect measurements on a material surface. Color measurement systems (spectrocolorimeters, colorimeters and radiometers) and cameras use the same type of light detectors: most of them use Charge Coupled Devices sensors. The difference between the two types of color data acquisition systems is that color measurement systems provide a global information of the observed surface (average aspect of the surface): the color texture is not taken into account. Thus, it seems interesting to use imaging systems as measuring instruments for the quantitative characterization of the color texture.


2011 ◽  
Vol 12 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Carmen Llena ◽  
Esther Lozano ◽  
Jose Amengual ◽  
Leopoldo Forner

ABSTRACT Objective The objective of this study was to investigate the intra and interdevice reliability of two tooth color measurement devices: EasyShade (ES) and SpectroShade Micro (SSM). Materials and methods Tooth color was measured in six maxillary and mandibular. L*, a* and b* values and shade matches to VITA Classical and Vitapan 3D-Master shade guide systems were determined for all teeth. ÄE was assessed. Paired t-test and correlation coefficient (ICC) were used. Results Intradevices no significant differences (p > 0.05) were found between L*, a*, b*. Interdevice L* and b* were significantly higher for ES (p < 0.05), while a* was significantly higher for SSM (p < 0.05). ÄE showed no significant interdevice difference (p > 0.05). Intradevices ICC values were higher for ES but not significant (p > 0.05). Discussion The null hypotheses that they present no differences in their color measuring within devices or shade systems is accepted, but the results allow to reject the null hypotheses that they present no differences in their color measuring or shade systems between devices. Conclusion Both EasyShade (ES) and SpectroShade Micro (SSM) show excellent repeatability and so they can be used in office to evaluate tooth color or to assess color changes after treatment. Clinical significance Dental color can be diagnosed using dental spectrophotometers, allowing to detect in an objective way therapeutic dental color changes. How to cite this article Llena C, Lozano E, Amengual J Forner L. Reliability of Two Color Selection Devices in Matching and Measuring Tooth Color. J Contemp Dent Pract 2011; 12(1):19-23.


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