A Novel Linear CCD Variable Velocity Two-Dimensional Imaging Approach Based on Adaptive Image Segmentation

A Novel Linear CCD Variable Velocity Two-Dimensional Imaging Approach Based on Adaptive Image Segmentation
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基于自适应图像分割的新型线性CCD变速二维成像方法

DOI:
10.1109/tmech.2020.2975096
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发表时间:
2020-04
期刊:
IEEE/ASME Transactions on Mechatronics
影响因子:
--
通讯作者:
Zhenzhen Zhang
Zhenzhen Zhang
中科院分区:
其他
文献类型:
--
作者:
Chao Peng;Jianxiao Zou;Mingyao Liang;Zezhou Zhang;Hongbing Xu;Zhenzhen Zhang

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线阵电荷耦合器件(CCD)相机由于其高分辨率数字成像能力,在工业生产和科学研究中得到了广泛的应用。为了减小扫描速度变化引起的成像畸变,提出了一种基于自适应图像分割的线阵CCD变速二维成像方法。提出了一种自适应图像分割算法,根据扫描速度的变化计算图像分割的大小。设计了一种基于离散插值的速度曲线拟合方法,得到每一图像段的扫描速度。然后,利用每一段扫描速度,计算每一段的补偿系数,设计基于三次样条插值的像素插值变换算法,得到完整的校正图像。最后,在印刷电路板(PCB)线阵CCD成像实验中实现了该方法,实验结果证明了该方法的有效性。
Linear charge coupled device (CCD) camera has been widely used in industrial manufacturing and science research because of its capability of high-resolution digital imaging. To reduced imaging distortion caused by scanning velocity variation, a novel linear CCD variable velocity 2-D imaging approach based on adaptive image segmentation is proposed in this article. An adaptive image segmentation algorithm is presented to calculate the size of image segmentation according to variable scanning velocity. A velocity curve fitting based on discrete interpolation is designed to obtain the scanning velocity in each image segment. Then, by using scanning velocity in each segment, compensation coefficient at each segment is calculated and a cubic spline interpolation based pixel interpolation transformation algorithm is designed to obtain the whole corrected image. Finally, the proposed approach is implemented in a printed circuit board (PCB) linear CCD imaging experiments and the results demonstrated its efficiency.
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发表时间: 2017-06
影响因子: 1.8
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