以第一作者和通讯作者发表论文列表： [1]Yuan Xiaocui, Lei Zhiming, Zhu Hhongtao, et al. A Tightness Detection Method for Railway Fasteners Based on RGB-P Bimodal Data. IEEE Transactions on Instrumentation and Measurement. 2024 Mar 4. [2]Xiaocui Yuan, Lushen Wu, Qingjin Peng. An Improved Otsu Method using the Weighted Object Variance for Defect Detection [J]. Applied Surface Science, 2015, 349: 472-484(SCI二区). [3]Yuan Xiaocui, Chen Huawei, Liu Baoling. Point cloud clustering and outlier detection based on spatial neighbor connected region labeling[J]. Measurement and Control, 2021, 54(5-6): 835-844.(SCI) [4]Yuan Xiaocui, Liu Baoling, Ma Yongli. Anisotropic neighborhood searching for point cloud with sharp feature[J]. Measurement and Control, 2020, 53(9-10): 1943-1953. (SCI) [5]袁小翠, 吴禄慎, 陈华伟. 钢轨表面缺陷检测的图像预处理改进算法[J]. 计算机辅助设计与图形学学报, 2014, 26(5): 800-805.(EI源刊). [6]袁小翠, 吴禄慎, 陈华伟. 特征保留点云数据精简[J]. 光学 精密工程, 2015, 23(9): 2666-2676 (EI源刊). [7]袁小翠, 吴禄慎, 陈华伟. 基于Otsu方法的钢轨图像分割[J]. 光学精密工程, 2016, 24(7):1772-1781. (EI源刊) [8]袁小翠, 吴禄慎, 陈华伟. 尖锐特征曲面散乱点云法向估计[J]. 光学精密工程, 2016, 24(10):2581-2588. (EI源刊) [9] 袁小翠, 吴禄慎, 陈华伟,等. Delaunay三角剖分算法改进与对比分析[J]. 计算机应用与软件, 2016, 33(9):163-166. [10]袁小翠, 陈华伟, 李彧雯. 规则特征曲面点云法向估计[J]. 中国图象图形学报, 2017, 22(3):334-341. [11]袁小翠, 陈华伟. 尖锐特征曲面点云模型各向异性邻域搜索[J]. 计算机应用与软件, 2018, 35(12):259-264. [12]袁小翠, 陈华伟. 点云模型特征面分割与识别方法[J]. 计算机工程, 2018, 044(011):245-250.
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