Prediction of BYK-mac-i results for assessing graininess characteristics in metallic coatings using scanner and texture analysis methods.

Articles in Press

Document Type : Original Article

Authors

1 Polymer and Color engineering/ Amirkabir university of technology

2 Department of Polymer and Color engineering/ Amirkabir university of technology/ tehran/ Iran

3 Polymer and Color engineering/Amirkabir university of technology

10.30509/jcst.2025.167480.1253

Abstract

Metallic coatings are widely used in various manufacturing industries, including automotive and decoration, due to their visually appealing characteristics. Evaluating the texture graininess of these coatings plays a crucial role in quality control. This study investigated various image processing methods including Fourier transform, wavelet transform, co-occurrence matrix, and distance-dependent edge frequency to quantify the graininess attribute of metallic coatings. The texture analysis obtained data were compared with the BYK-mac-i gonio-spectrophotometer graininess, and the correlation between them was calculated. The results showed that all methods correlated significantly with the measured graininess data. Among these methods, the homogeneity derived from the co-occurrence matrix demonstrated the highest accuracy in quantifying texture graininess, with a correlation coefficient of 0.88. This result aligns closely with the findings obtained from the BYK-mac-i gonio-spectrophotometer. Additionally, the Fourier spectrum means and wavelet energy in the diagonal channel in the frequency domain, and the energy and correlation features from the co-occurrence matrix and distance-dependent edge frequency method in the spatial domain, provided acceptable results with correlation coefficients above 0.82.

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Journal of Color Science and Technology

Articles in Press, Accepted Manuscript
Available Online from 21 May 2025

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