Evaluation of colour differences on wood surfaces

Buchelt, Beate; Wagenführ, André

doi:10.1007/s00107-011-0545-z

Cited by 25 publications

(18 citation statements)

References 4 publications

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“…In the cultural heritage field, the maximum acceptable difference of Δ E * ab must not compromise the reading of the artworks. Experimentally, statistics data give information about the value Δ E * ab > 5 as the maximum limit to the standard observer population to see the difference between two colors 47‐49 …”

Section: Methodsmentioning

confidence: 99%

Effect of water in color changes of historical paintings

Pasquale

Gueli

2021

Color Research & Application

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In conservation and cleaning of historical paintings, the use of water was discouraged because of its effects in terms of swelling and leaching of pictorial materials and of color modification. Nevertheless, water can represent a good substitute of organic solvents and of other tools recently employed for cleaning and restoration. The research article assesses the wetting characteristics and to quantifies the effect of the water absorption on the color changes for historical paintings. For these purposes, different typologies of painting mock‐ups have been prepared in the laboratory to reproduce the main antique pictorial techniques. The results highlighted that the binder played an important function in the wetting properties assessed by contact angle measurement. The water absorption tests underlined that the topography of the painting surface strongly influenced the water absorption. The data have been correlated to colorimetric measurements to quantify the color alteration induced by water. This quantification is important to define the role of water‐based products in cleaning and conservation procedures. The water, in fact, could be a good tool of green chemistry to save the health of the restorer and the environment.

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Section: Methodsmentioning

confidence: 99%

Effect of water in color changes of historical paintings

Pasquale

Gueli

2021

Color Research & Application

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“…In the cultural heritage field, the maximum acceptable difference of

Δ E_{a b}^{*}

has to be such to not compromise reading of the artworks. Experimentally statistics data give information about the value

Δ E_{a b}^{*}

> 5 as the maximum limit to standard observers population see the difference between two colours . This choice is based on the assumption that, in this case, the tolerance and the range for acceptability are dissimilar from the strict standard quality of the industrial sector.…”

Section: Methodsmentioning

confidence: 99%

Influence of vehicle on historical pigments colour

Gueli

Pasquale

Troja

2017

Color Research & Application

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The colour of a paint layer is determined by the pigments mixed with a vehicle and painted on a support. According to their chemical nature, the vehicles are substances that, after drying or hardening, produce an uniform and homogeneous layer. With the aim of quantifying the influence of the medium on the specification of the painting colour, we realized samples of paintings. We considered pigments and dyes of the artist's hues using the vehicles typical of ancient times: oils (especially linseed and poppy oils), casein and egg yolk, mixed according to old recipes. Measurements were performed by reflectance spectrophotometry observing the Spectral Reflectance Factor (%SRF) trend and calculating colour changes. The colorimetric study was carried out in the CIELAB colour space related to the CIE 1964 standard observer and with the D65 illuminant. The results were evaluated also on the basis of the distribution of pigment particles on paint layers observed by scanning electron microscopy.

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“…Akhloufi, Larbi and Maldague [13] have introduced a new framework for industrial product inspection (wood, roofing shingles) by extracting statistical features from combined color and texture information. A method which employed spectrophotometer to evaluate interclass color differences of wood surfaces is described in [14]. In paper [15], colour-based classification of rubber wood boards for fingerprint manufacturing has demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Automatic Wood Classification using a Novel Color Texture Features

Shivashankar¹,

Kagale²

2018

IJCA

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A variety of texture classification approaches have been reported in the literature but many of them are focused on gray-scale textures. The aim of this work is to develop a novel color texture features by constructing a histogram based on the combined intensity and color channel information to effectively classify color texture images. Five features are computed from the histogram bin values to reduce the computational complexity. Experiments are conducted on a set of 164 color texture images from VisTex database. The K-Nearest Neighbor (K-NN) classification method is used as a classifier. The classification results are encouraging to use the proposed scheme with reduction in features. Further the proposed scheme is used in automatic wood classification to show the usefulness of the proposed scheme in industrial applications.

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Evaluation of colour differences on wood surfaces

Cited by 25 publications

References 4 publications

Effect of water in color changes of historical paintings

Effect of water in color changes of historical paintings

Influence of vehicle on historical pigments colour

Automatic Wood Classification using a Novel Color Texture Features

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