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A Rotation Angle Calculation Method about Bearing Images Based on Edge Image Correlations

机译:基于边缘图像相关的轴承图像的旋转角度计算方法

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In Industrial automation field rotation angle calculation between successive bearing images is frequently required and the rotation angle is used for locating the oil feeder. Because bearing images are rotational symmetric, also they have perspective distortion, the phase correlation method in frequency domain usually cannot find reasonable rotation angle. This paper presents a new method based on edge images' correlations, at first original images' Canny edges are got after polar coordinate transform, then Hamming distance is used to calculate spatial correlation between bearing images, at last reasonable rotation angles are got when Hamming distance get the minimum value. For this kind of rotational symmetric images with rich edges, experiments show that the proposed method can efficiently solve this problem with much low computation cost.
机译:在工业自动化场上,经常需要连续的承载图像之间的旋转角度计算,并且旋转角度用于定位供油机。因为轴承图像是旋转对称的,所以它们具有透视失真,频域中的相位相关方法通常无法找到合理的旋转角度。本文提出了一种基于边缘图像相关性的新方法,在第一原始图像'罐头边缘在极坐标变换之后,汉明距离用于计算承载图像之间的空间相关性,最后合理的旋转角度哈米明距离获得最小值。对于具有丰富边缘的这种旋转对称图像,实验表明,所提出的方法可以以多大的计算成本有效地解决这个问题。

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