CSDL Bài trích Báo - Tạp chí
chủ đề: Engineering Technologies
1 Automatic extraction of pothole objects using image processing techniques / Tran Xuan Linh, Hoang Nhat Duc // .- 2020 .- Số 06(43) .- P. 3-6 .- 624
This study aims at developing an image processing based method for automatic extraction of pothole object on surface of asphalt pavement road. Image processing methods including Median Filter, Otsu’s method for image thresholding, and image morphological analyses are employed for extracting pothole objects from digital images. Experimental results with image samples demonstrate the effectiveness of the developed image processing tool.
2 Classification of asphalt pavement crack severity using gradient boosting machine and image processing techniques = Phân loại vết nứt mặt đường sử dụng mô hình học máy tăng cường và các kỹ thuật xử lý ảnh / Hoang Nhat Duc, Tran Van Duc, Nguyen Quoc Lam, Pham Quang Nhat // .- 2024 .- Số 04(65) .- P. 80-89 .- 624
This study puts forward an innovative approach for not only detecting cracks but also recognizing their severity. Herein, the severity of a crack object is characterized by its width. Light Gradient Boosting Machine (LightGBM) has been employed to categorize pavement surface into five labels: non-crack, sealed crack, minor crack, moderate crack, and severe crack. The model construction of the LightGBM requires a set of feature extractors, including steerable filters, projection integrals, and image texture analyses.
3 The efficiency coefficient of 3x3 piles group in cohesion soil using small scaled pile group model / Tran Thi Phuong Huyen, Nguyen Sy Hung // Xây dựng .- 2023 .- No. 6 .- P. 90-95 .- 624
This paper deals with the investigation of a model experimental study of group piles of different length to diameter ratio (L/D) as well as different spacing (S) between the piles in the group.