Automatic measurement of wood surface roughness by laser imaging. Part I: development of laser imaging system

Producing the proper surface finish is an important part of the wood machining process. The surface finish is closely related to wood adhesion, friction, coating, post-processing cost, and aesthetic appearance. A contact method based on stylus is commonly used in laboratories and off-line for measurements of wood surface roughness. The need for improved flexibility, productivity, and product quality in a modern wood machining environment highlights the need for a non-contact, high-speed, in-process surface roughness measurement system. In this study, a laser imaging system was developed to automatically determine wood surface roughness using a two-dimensional Gaussian function model. The results have shown that the image processing system is effective and suitable for determining wood surface roughness for wood specie such as Japanese beech. The correlation between the full width at half maximum of Gaussian function and wood surface roughness coincides with a linear relationship. In other words, the full width at half maximum of Gaussian function is suitable for automatically evaluating wood surface roughness. However, further study is recommended on the influences of wood properties such as anatomical structure, density, and color on measuring accuracy.

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