机译:基于边缘检测的CCTV图像下水道缺陷形态学分割
Department of Civil Engineering and Engineering Management, National Quemoy University, 1 Da Xue Rd., Kinmen 892, Taiwan;
Department of Civil Engineering, National Chung Hsing University, 250 Kuokuang Rd., Taichung 402, Taiwan;
Department of Civil Engineering and Engineering Management, National Quemoy University, 1 Da Xue Rd., Kinmen 892, Taiwan;
Department of Construction Engineering, Chaoyang University of Technology, 168 Jifong E. Rd., Taichung 413, Taiwan;
sewer pipe defect morphological segmentation edge detection opening top-hat operation;
机译:在CCTV图像上分割下水道缺陷的理想形态以进行自动诊断
机译:基于缺陷检测和度量学习的CCTV视频中自动化的下水道管道缺陷跟踪
机译:使用CCTV视频影像的多元分析进行下水道缺陷诊断评估
机译:使用计算机视觉技术闭路电视(CCTV)图像中下水道管道缺陷的严重性评估
机译:基于边缘的图像分割中边界检测标准的自动初始化和自动设计。
机译:结合区域信息和边缘信息的超声图像分割方法
机译:形态分割在下水道管道泄漏缺陷检测中的应用