This paper describes an evaluation method of shot peened surface using image processing. Shot peening is a process that applies compressive residual stress to the product surface, and its evaluation is performed visually by an expert. If visual inspection can be replaced with image processing, the inspection of the entire product will be easier. Therefore, first reference samples that experts evaluate are prepared, next these samples are evaluated by image processing. relationship between expert evaluations and image processing evaluations are compared and the estimation function is defined using gausian distribution. Unknown processed surfaces are evaluated as a classification problem. For image processing, after binarization and labeling, the number of labels and the area ratio of binarization are used.
KEYWORDS: 3D metrology, Calibration, 3D modeling, Cameras, Actuators, Computer programming, 3D image processing, 3D acquisition, Imaging systems, Clouds
This paper describes three-dimensional shape measurements by a multi-camera system and the correction of the measured points. First, a geometrical model is constructed using the positional relationship of the calibrated multi-camera. Because the cameras are located linearly on a thin plate whose curvature is changed by an actuator, Zhang’s method is employed in the calibration. Second, a three-dimensional object is measured on an epipolar plane. DP (Dynamic Programming) matching is used to determine the corresponding points and SSD (Sum of Squared Difference) is used as the local area windows. Third, the correlation coefficient is employed to determine the likelihood of the three-dimensional points, which are then set to correct and modify the measured points. Consequently, the measurement results more closely resemble the shape of the measured object.
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