基于重叠分类和腐蚀速率的重叠径迹分离方法
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西南科技大学自然科学基金资助项目(基于立体视觉的固体核径迹图像测量方法研究18ZX7106)

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Separating method of overlapping track based on overlapping classification and erosion rate
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    摘要:

    粒子径迹的严重重叠粘连会影响粒子径迹的测量精确度。提出一种基于径迹重叠分类的严重粘连重叠核径迹分离测量新方法。首先,按照重叠粒子径迹中心的相互包含性,对重叠粘连的粒子径迹进行分类,以辨别粒子粘连的严重程度;然后,以等比缩小一半的非粘连重叠的粒子径迹图像为结构元素,对粘连重叠粒子径迹显微图像进行有限次腐蚀操作,有效分离了严重粘连重叠的粒子径迹,形成了四类径迹分类图像。实验结果表明,结合新的分类方法和有限腐蚀能够分割严重粘连重叠的径迹图像,消除径迹重叠粘连对图像测量精确度的影响。

    Abstract:

    The severe overlapping of particle tracks seriously affects the measurement accuracy of particle track. A new method is proposed based on track overlapping classification to separate and measure the severe overlapping of particle tracks. Firstly, the overlapped tracks are classified according to the inclusion of particle track centers to identify the severity of particle overlapping. Then, the non-overlapping particles are scaled to half to form structural units. The finite erosion operations are applied to the severely overlapped particle tracks based on these structural elements. These particle tracks are separated, and form four kinds of track classification images. Experimental results show that these severely overlapped particle tracks can be separated by combining track overlapping classification and finite erosion operations, which can eliminate the influence of track overlapping on the image measurement accuracy.

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张劲峰.基于重叠分类和腐蚀速率的重叠径迹分离方法[J].太赫兹科学与电子信息学报,2021,19(6):1070~1074

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  • 收稿日期:2019-09-19
  • 最后修改日期:2020-05-14
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  • 在线发布日期: 2021-12-31
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