Abstract:
Abstract: With the naturally grown colors and textures， the solid wood floor is an excellent material for interior decoration. In order to meet the artistic effects required for specific interior decoration， the geometry and of solid wood floor need to be precisely inspected and colors need to be well-coordinated. So， it is necessary to measure the geometrical dimensions of solid wood floor and classify the colors during the manufacturing process to meet the personalized needs of customers. However， the traditional manual method is constrained by factors such as labor intensity， work efficiency， and detection objectivity. It is difficult to meet the growing demand for industrial automation and intelligent development. In this paper， the geometric size and color-difference is detected by a developed machine-vision based system for solid wood floor. The algorithm for measuring the size and the color-difference is optimized. In the geometric dimension measurement， the influence of the random attitude of the wooden floor on the measurement accuracy during the production process is considered. The 3D attitude of the wooden floor is sensed and corrected in real time by using the ArUco （Augmented Reality University of Cordoba） code， which improves the accuracy of the dimension measurement； the gradient autocorrelation operator is used in color-difference identification and integrated to remove the wood texture. The color-difference is defined in Lab color space. The proposed method is verified and validated experimentally. It enables the detection of under-machined and over-machined contours using a benchmark plate. The relative accuracy of dimensional detection is about 0.8%， and the color-difference of the wooden floor is well characterized and identified.

Key words: Key words: solid wood floor inspection, machine vision, automatic control systems, image processing, color-difference