Estimation of Coefficient of Static Friction of Surface by Analyzing Photo Images
We propose a method to estimate the coefficient of static friction of floor surfaces by analyzing photo image of the floor tiles. The image features that we use to estimate the coefficient are micro-shape features and micro-depth features. We extract the difference between the flash images and the non-flash images of floor tiles. We have composed an equation by applying multiple linear regression analysis that sets the image features as explanatory variables and the measurements of the tile images as objective values. As the result, we have obtained an estimate equation that coefficient of determination R2 is 0.97 and we observed the two-sided 95 % confidence interval ±0.053. We can say that the equation is good enough for practical use.
KeywordsCoefficient of static friction Texture analysis Image measurements Shape-pass filter Micro shape feature Micro depth feature
This work was supported by Japan Society for Promotion of Science (JSPS), with the basic research program (C) (No. 25420416 and 26350456), Grant-in-Aid for Scientific Research.
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