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旋转对称三角传感器由于其光学系统的旋转对称性而比其他的传统激光三角传感器具有更好的柔性,将旋转对称三角传感器应用于工业领域,相应的处理方法的性能是至关重要的。为了使传感器在复杂物体表面情况下仍具有较好的性能,我们设计了一种用于旋转对称三角传感器的鲁棒的处理方法。首先,分析旋转对称三角传感器图像的特性,这些特性取决于被测物体的表面特性,而这些图像特性将有助于传感器图像的处理方法的设计。其次,用一种由粗到精检测方法实现对传感器图像的处理。提出在精检测中,一种结合了自适应平滑和峰值法的方法,以实现检测的鲁棒性。在实际传感器图像上的实验结果证明,这种处理方法对于来自复杂表面的传感器图像具有很好的鲁棒性,从而提高了传感器的柔性。
Due to the rotational symmetry of the optical system, the rotationally symmetric triangulation sensor has better flexibility than other traditional laser triangulation sensors. The application of the rotationally symmetric triangulation sensor in the industrial field is crucial for the performance of the corresponding processing method. In order to make the sensor still have better performance in the case of complex objects, we designed a robust processing method for rotationally symmetric triangulation sensor. Firstly, the characteristics of rotational symmetric triangle sensor images are analyzed. These characteristics depend on the surface characteristics of the measured object, and these image characteristics will help the design of the sensor image processing method. Second, the sensor image processing is implemented by a coarse to fine detection method. Proposed in the fine detection, a combination of adaptive smoothing and peak method to achieve detection robustness. The experimental results on the actual sensor images prove that this method has good robustness to the sensor images from the complex surface, which improves the flexibility of the sensor.