论文标题
在核跟踪检测器分析（NTD）图像分析的连续反向卷积和卷积技术上的应用机器学习的应用
Application of Machine Learning on sequential deconvolution and convolution techniques for analysis of Nuclear Track Detector (NTD) images
论文作者
论文摘要
提出了一种应用于核跟踪探测器（NTD）图像的新型图像分析算法。与其他常规图像分析技术相比，该过程涉及涉及反卷积和卷积技术的顺序应用，其次是人工神经网络（ANN）的应用。
A novel image analysis algorithm as applied to images of Nuclear Track Detectors (NTD) is presented. This process, involving sequential application of deconvolution and convolution techniques, followed by the application of Artificial Neural Network (ANN), is identifying the etch-pit openings in NTD images with a higher degree of success compared to other conventional image analysis techniques.
