The technique of sub-pixel stripes distinguish on the surface measurement
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摘要: 三维型面非接触测量在工业领域有着广泛的应用前景.双目视觉是一种有效获取三维轮廓信息的方法,其中对大密度的黑白相间条纹进行精确定位和提取,是基于投影光栅图像的光学三维型面测量的关键技术和难点.利用空间编码技术将被测空间划分为若干区域,每个区域对应一个二进制码.条纹落在区域上与唯一的二进制码相对应,就可以对条纹精确定位.利用边缘提取算法获得像素级条纹后,再利用亚像素技术可以进一步对条纹进行高精度提取.介绍了基于灰度矩的和基于多项式拟合的亚像素边缘检测算法.将空间编码和亚像素条纹提取技术相结合,对光栅条纹进行亚像素级定位和提取的技术,与像素级的定位技术相比,能提高图像的定位精度,有效地改善测量系统的性能.Abstract: Non-contact measurement of 3-D surface has been extensively applied in industry. The stereo vision is an effective way for 3-D profile measurement.Distinguishing and detecting the high density white-black stripes is one of the key techniques in the 3D-measurement based on the image of grating. Using spatial code technology, the measurement space was divided to several parts, and each part corresponded with a unique binary code. Falling on the space part, there was a unique binary code corresponded with the stripes, thus the stripes could be distinguished accurately. After getting pixel stripes with edge detection algorithm, the high precision strips could be detected by sub-pixel technology. The sub-pixel edge detection algorithm based on gray moment and polynomial fitting was presented. Combining spatial code and sub-pixel technique, it could easily distinguish and detect the sub-pixel stripes. This method can obtain a higher precision comparing with pixel stripes detection and improve the accuracy of measurement system.
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Key words:
- moulding surface measurement /
- spatial code /
- sub-pixel detection
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