Graininess characterization by multidimensional scaling

Perales, Esther; Burgos, Francisco; Vilaseca, Meritxell; Viqueira, Valentín; Martínez‐Verdú, Francisco M.

doi:10.1080/09500340.2019.1589006

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…The variability associated with the individual observer response was 30%, and the inter-observer variability was 35%. These variability values are high compared to other visual experiments performed with the same procedure and the same objective [17,18]. This result is indicative of the difficulty observers have in perceiving different samples in terms of graininess as reflected by the randomness of their responses.…”

Section: Resultsmentioning

confidence: 64%

Influence of the Hue of Absorption Pigments on the Perception of Graininess

Perales,

Ferrero,

Espinosa

et al. 2023

lim

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Valid and traceable instrumental measurements of all the visual attributes that characterize the appearance of a material (color, gloss, texture and translucency) are necessary to ensure good product quality control. The objective of this work is to evaluate the visual attribute of texture associated with special effect pigments in order to be able to establish a measurement scale. In particular, this study evaluates the influence of the hue of absorption pigments on the perception of graininess. For this purpose, nine samples with a systematic variation of hue angle were used. A visual experiment based on the comparison of triplets was designed, and a multidimensional scaling (MDS) analysis was applied to obtain relative values of perceived graininess. The results confirm that the hue angle of the absorption pigments does not influence the perception of graininess.

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Section: Resultsmentioning

confidence: 64%

Influence of the Hue of Absorption Pigments on the Perception of Graininess

Perales,

Ferrero,

Espinosa

et al. 2023

lim

View full text Add to dashboard Cite

show abstract

“…However, few works about establishing a graininess scale have been published. One previous work applied multidimensional scaling [16] and conducted a specific visual experiment. The results showed that two dimensions were necessary to characterize the graininess effect.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Graininess Attribute by Visual Scaling for Coatings with Special-Effect Pigments

et al. 2020

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In our society, objects’ visual appearance is an essential factor because it allows us to recognize and differentiate one object from another. In different industrial sectors like cosmetics, textiles and automotive, special-effect pigments are largely used to achieve attractive visual features. These pigments provide a color change with viewing and illumination direction, and visually provide texture. Depending on a finish’s properties, and also on the viewing and illumination conditions, coatings exhibit sparkle or a graininess-like texture. Currently, not many scientific works on the visual perception of these texture effects can be found in the literature. In addition, choice of experimental method can influence the measurement scale obtained from visual data. For this reason, the purpose of this work was to analyze graininess visual scaling constructed by two different psychophysical methods. The experimental design was based on the rank-order and paired-comparison methods. The data analysis was conducted by following the law of comparative judgments to obtain a visual scale of the graininess attribute to compare it to instrumental data. A good correlation appeared between both magnitudes with a correlation coefficient close to 0.9. Both methods provided useful results with a reasonable correspondence between them, which ensures that data can be considered reliable, while the visual obtained scale can act as a good graininess scale perceived by the human visual system.

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“…The physical factors that contribute to graininess are the type, size, disorientation and agglomeration of gonioapparent particles [2,8,13]. While there is no consensus regarding the analysis of graininess, some authors have proposed the use of radiometry and the combination of various parameters such as pigment concentration, scattering, absorption and lightness for this purpose [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Texture Evaluation of Automotive Coatings by Means of a Gonio-Hyperspectral Imaging System Based on Light-Emitting Diodes

et al. 2020

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Sparkle and graininess are textural effects that appear as intrinsic spatial features of coatings containing goniochromatic pigments, whereas others such as mottling are undesired outcomes. In this study, we present new methods for the evaluation of sparkle, graininess and mottling of automotive coatings through images acquired with a novel gonio-hyperspectral imaging system based on light-emitting diodes with extended spectral sensitivity beyond the visible range (368–1309 nm). A novel analysis of sparkle that considered the amount of sparkling spots was used. Graininess was quantified through a novel statistical descriptor based on the energy descriptor computed from the histogram. A new index was proposed for an enhanced detection of mottling based on the analysis of striping, which was better observed and quantified in the infrared range. Spectral assessments showed a strong relationship with color and spectral reflectance for graininess and mottling. In conclusion, the results showed that these new spatial and spectral methods are a suitable, alternative and potential approach for the assessment of these textural features.

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Graininess characterization by multidimensional scaling

Cited by 5 publications

References 22 publications

Influence of the Hue of Absorption Pigments on the Perception of Graininess

Influence of the Hue of Absorption Pigments on the Perception of Graininess

Evaluating the Graininess Attribute by Visual Scaling for Coatings with Special-Effect Pigments

Texture Evaluation of Automotive Coatings by Means of a Gonio-Hyperspectral Imaging System Based on Light-Emitting Diodes

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