About: Color difference is a research topic. Over the lifetime, 6212 publications have been published within this topic receiving 67477 citations. The topic is also known as: ΔE.
TL;DR: The overlap in ranges of the color differences for those comparisons rated matches and mismatches indicates the importance of other factors in appearance matching, such as translucency and the effects of other surrounding visual stimuli.
Abstract: Judgments of appearance matching by means of the visual criteria established by the United States Public Health Service (USPHS) and by means of an extended visual rating scale were determined for composite resin veneer restorations and their comparison teeth. Using a colorimeter of 45°/0° geometry and the CIELAB color order system, we used the color of the restorations and comparison teeth to calculate a color difference for every visual rating. Statistically significant relationships were found between each of the two visual rating systems and the color differences. The average CIELAB color difference of those ratings judged a match by the USPHS criteria was found to be 3. 7. However, the overlap in ranges of the color differences for those comparisons rated matches and mismatches indicates the importance of other factors in appearance matching, such as translucency and the effects of other surrounding visual stimuli. The extended visual rating scale offers no advantages to the more broadly defined crite...
TL;DR: The color stability of 3 light-polymerized veneer materials were investigated and compared to that of 3 conventional heat- and auto-polymers materials and the accelerated test had the ability to discriminate between the various products.
TL;DR: In this article, the effect of high temperature on mechanical properties, dimensional stability and color of spruce was investigated, and the results showed that heat treatment mainly resulted in a darkening of wood tissues, improvement of the dimensional stability of wood and reduction of its mechanical properties.
Abstract: In this study the effect of high temperature on mechanical properties, dimensional stability and color of spruce was investigated. Wood specimens conditioned at different relative humidities (50, 65, 80 and 95 %) were subjected to heat treatment at 200 degreesC for 2, 4, 8, 10 and 24 h and at 100, 150 and 200degreesC for 24 h. Color changes were measured in the Minolta Croma-Meter CR-300 color system. Bending strength and modulus of elasticity were determined according to DIN 52186. The results show that heat treatment mainly resulted in a darkening of wood tissues, improvement of the dimensional stability of wood and reduction of its mechanical properties. The darkening accelerated generally when treatment temperature exceeded approximately 200degreesC. Most of the darkening occurred within the first 4 h of exposure. For the specimens heated to high temperatures, the average decrease in bending strength was about 44-50 %, while modulus of elasticity was reduced by only 4-9 %. We found that treatment time and temperature were more important than relative humidity regarding the color responses. Strong correlations between total color difference and both modulus of elasticity and bending strength were found. Thus, the color parameters can be estimated quantitatively and used as a prediction of wood strength.
TL;DR: The history of colorimetry can be traced back to the 1931 CIE Resolutions on Colorimetry as mentioned in this paper, which were used for the first time by the International Institute of Colourimetry (IOC).
Abstract: Preface. Contributors and Referees. Part I: Historic Retrospection. 1. Translation of CIE 1931 Resolutions on Colorimetry (Translated by P. Bodrogi). 2. Professor Wright's Paper from the Golden Jubilee Book: The Historical and Experimental Background to the 1931 CIE System of Colorimetry (W. D. Wright). 3. CIE Colorimetry (Janos Schanda). 4. CIE Color Difference Metrics (Klaus Witt). 5. Spectral Color Measurement (Yoshi Ohno). 6. Tristimulus Color Measurement of Self-Luminous Sources (Janos Schanda, George Eppeldauer, and Georg Sauter). 7. Color Management (Jan Morovic and Johan Lammens). 8. Color Rendering of Light Sources (Janos Schanda). Part III: Advances in Colorimetry. 9. Color-Matching Functions: Physiological Basis (Francoise Vienot and Pieter Walraven). 10. Open Problems on the Validity of Grassmann's Laws (Michael H. Brill and Alan R. Robertson). 11. CIE Color Appearance Models and Associated Color Spaces (M. Ronnier Luo and Changjun Li). 12. Image Appearance Modeling (Garrett M. Johnson and Mark D. Fairchild). 13. Spatial and Temporal Problems of Colorimetry (Eugenio Martinez-Uriegas). 14. The Future of Colorimetry in the CIE (Robert W.G. Hunt). Appendix 1: Measurement Uncertainty (Georg Sauter). Appendix 2: Uncertainties in Spectral Color Measurement (James L. Gardner). Appendix 3: Use of CIE Colorimetry in the Pulp, Paper, and Textile Industries (Robert Hirschler and Joanne Zwinkels). Appendix 4: List of CIE Publications. Glossary. Index.
TL;DR: The International Commission on Illumination (CIE) has recommended the use of two approximately uniform color spaces and associated color-difference formulae chosen from among several of similar merit to promote uniformity of practice as mentioned in this paper.
Abstract: The International Commission on Illumination (CIE) has recommended the use of two approximately uniform color spaces and associated color-difference formulae chosen from among several of similar merit to promote uniformity of practice. In this paper, the various features of the two formulae are discussed and compared. It is shown that the two are approximately equal in their degree of agreement with visual judgements of color difference. Choice of which formula to use in a particular situation will often depend not so much on scientific merit as on other factors such as familiarity and conformance to common practice in a particular industry or group.