中文摘要：

图像位置测量方法在双次级永磁直线电机动子位置测量中应用时,目标源图像的选取对其测量的精度和抗干扰性至关重要。采用栅栏图像作为原始拍摄面,根据其宽度标准差和灰度梯度和来构造不同的非周期栅栏图像用于实验。利用四叉树分解方法把采集到的非周期栅栏图像分割成各个块图像,根据块图像的边缘纹理与其邻域像素存在的约束条件来区分并消除边缘纹理对噪声测量的干扰,准确得出块图像中的噪声污染程度;再对各块图像进行加权平均后得到整幅图像的噪声水平。最后,利用峰值信噪比来评价图像的质量,并通过相位相关算法来验证其抗干扰性,从而筛选出强鲁棒性的非周期栅栏图像。结果表明,在栅栏图像宽度标准差为[8.1,8.3]、灰度梯度和为[18 000,22 000]之间取值构造的灰度非周期栅栏图像的峰值信噪比值较优、相似性峰值高、图像的抗干扰性强,能够实现直线电机动子位置的高精度测量。

英文摘要：

When the technology of the image measurement is applied in the double secondary permanent magnet linear motor rotor position measurement,the selection of the target source image is very important for its measurement precision and anti- interference.According to the width of the standard deviation and the gray gradient sum to construct different aperiodic fence image,the original picture surface is used.The quadtree decomposition method is used to decompose the collected fence image into each piece.According to the edge texture of the block image and its constraint conditions of neighborhood pixels to distinguish as well as eliminate the influence of edge texture of noise,the noise levels of block image are achieved accurately.Each image block is weighted,the whole image with noise results from the average level.Finally,peak signal to noise ratio is used to evaluate the quality of the image,and the phase correlation algorithm is used to verify its anti- interference.Results show that the gray aperiodic fence image＇s peak signal to noise ratio is better and its similarity peak is higher for the width standard deviation change in [8.1,8.3] and thegray gradient sum change in [18 000,22 000],and its anti- interference is better and can realize high precision measurement of the linear electric motor rotor position.