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Study of a measurement system for steel plates based on computer vision

Wang Zhi1,Zhao Yuechao2(1.School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212003,China)(2.School of Electronics and Information,Jiangsu Univesity of Science and Technology,Zhenjiang Jiangsu 212003,China)  
Because the target steel plate in Industrial vision measuring system is texture less,this paper presents a point-array structured light method for measurement of 3D shape of steel plate.Some points and parallel lines were projected on the steel plate.Two cameras were used to take pictures.This method first used SURF algorithm to extract these projected feature points.Secondly,it coded point-array by using line structured light.Thirdly,it calculated the matching feature points for reconstruction of three-dimensional projected points based on epipolar geometry constraint.After that,it segmented point cloud projected on the steel plate by using a filtering method of point cloud data based on geometric characteristic.At last,measurement error was tested compared with actual measurement after coordinate transformation.The experimental result shows that the method is feasible and effective.
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