arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1908.09779physics.ins-deteess.IV
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核径迹探测器蚀坑显微图像的卷积混合图像处理技术

Convolution based hybrid image processing technique for microscopic images of etch-pits in Nuclear Track Detectors

Kanik Palodhi, Joydeep Chatterjee, Rupamoy Bhattacharyya, S. Dey, Sanjay K. Ghosh, Atanu Maulik, Sibaji Raha

摘要:

提出了一种新的基于卷积的图像处理技术,用于分析核径迹探测器(NTD)中的蚀坑图像。将所提出的方法应用于不同类型的NTD(例如,CR-39,PET),其包含不同尺寸和形状(圆形和椭圆形)的蚀坑开口。对NTD中腐蚀坑的识别和计数都取得了令人满意的结果。

英文摘要:

A novel image processing technique based on convolution is developed for analyzing the etch-pit images in Nuclear Track Detectors (NTDs). The outcomes of the application of the proposed method on the different types of NTDs (e.g., CR-39, PET) containing etch-pit openings of different sizes and shapes (circular and elliptical) is presented. Promising results have been obtained for both identifying and counting the etch-pits in NTDs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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