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Wei Chen, Xianglin Fu, Wanqing Chen and Zijun Peng
For the development of reinforced concrete structures and infrastructure construction, traditional rebar checking and acceptance methods have shortcomings in terms of efficiency. The use of digital image processing technology cannot easily identify a reb...
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Fujie Zhang, Yuhao Lin, Yinlong Zhu, Lixia Li, Xiuming Cui and Yongping Gao
The classification of the taproots of Panax notoginseng is conducive to improving the economic added value of its products. In this study, a real-time sorting robot system for Panax notoginseng taproots was developed based on the improved DeepLabv3+ mode...
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Quoc Toan Nguyen
Pág. 64 - 76
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Huixuan Fu, Dan Meng, Wenhui Li and Yuchao Wang
Cracks are the main goal of bridge maintenance and accurate detection of cracks will help ensure their safe use. Aiming at the problem that traditional image processing methods are difficult to accurately detect cracks, deep learning technology was intro...
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Xiaobo Zhuang and Yaoming Li
Rice lodging not only brings trouble to harvesting but also reduces yield. Therefore, the effective identification of rice lodging is of great significance. In this paper, we have designed a bilinear interpolation upsampling feature fusion module (BIFF) ...
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Jiahui Qian, Wenjun Xia, Zhangyan Zhao and Faju Qiu
Due to uncontrollable influences of the manufacturing process and different construction environments, there are significant challenges to extracting accurate positioning points for the lifting holes in prefabricated beams. In this study, we propose a tw...
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Kolja Hedrich, Lennart Hinz and Eduard Reithmeier
The automation of inspections in aircraft engines is an ever-increasing growing field of research. In particular, the inspection and quantification of coating damages in confined spaces, usually performed manually with handheld endoscopes, comprise tasks...
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Jihyo Seo, Hyejin Park and Seungyeon Choo
Artificial intelligence presents an optimized alternative by performing problem-solving knowledge and problem-solving processes under specific conditions. This makes it possible to creatively examine various design alternatives under conditions that sati...
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Manawaduge Supun De Silva, Barath Narayanan Narayanan and Russell C. Hardie
Lung segmentation plays an important role in computer-aided detection and diagnosis using chest radiographs (CRs). Currently, the U-Net and DeepLabv3+ convolutional neural network architectures are widely used to perform CR lung segmentation. To boost pe...
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Hang Li, Shengjie Zhao and Hao Deng
The extraction of community-scale green infrastructure (CSGI) poses challenges due to limited training data and the diverse scales of the targets. In this paper, we reannotate a training dataset of CSGI and propose a three-stage transfer learning method ...
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I.A. Lozhkin,M.E. Dunaev,K.S. Zaytsev,A.A. Garmash
Pág. 109 - 117
The purpose of this work is to study the effectiveness of augmentation methods of image sets when they are insufficient in training sample of neural networks for solving semantic segmentation problems. For this purpose, the main groups of augmentation me...
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Shuofeng Li, Bing Li, Jin Li, Bin Liu and Xin Li
At present, rice is generally in a state of dense adhesion and small granular volume during processing, resulting in no effective semantic segmentation method for rice to extract complete rice. Aiming at the above problems, this paper designs a small obj...
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Kai Zheng, Jiansheng Li, Lei Ding, Jianfeng Yang, Xucheng Zhang and Xun Zhang
The segmentation of cloud and snow in satellite images is a key step for subsequent image analysis, interpretation, and other applications. In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN) with enhan...
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Hui Liu, Kun Li, Luyao Ma and Zhijun Meng
Headland boundary identification and ranging are the key supporting technologies for the automatic driving of intelligent agricultural machinery, and they are also the basis for controlling operational behaviors such as autonomous turning and machine lif...
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Mateo Cano-Solis, John R. Ballesteros and German Sanchez-Torres
Vegetation encroachment in power line corridors remains a major challenge for modern energy-dependent societies, as it can cause power outages and lead to significant financial losses. Unmanned Aerial Vehicles (UAVs) have emerged as a promising solution ...
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Wuttichai Boonpook, Yumin Tan, Attawut Nardkulpat, Kritanai Torsri, Peerapong Torteeka, Patcharin Kamsing, Utane Sawangwit, Jose Pena and Montri Jainaen
Using deep learning semantic segmentation for land use extraction is the most challenging problem in medium spatial resolution imagery. This is because of the deep convolution layer and multiple levels of deep steps of the baseline network, which can cau...
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Yongzhe Sun, Linxiao Miao, Ziming Zhao, Tong Pan, Xueying Wang, Yixin Guo, Dawei Xin, Qingshan Chen and Rongsheng Zhu
The investigation of plant phenotypes through 3D modeling has emerged as a significant field in the study of automated plant phenotype acquisition. In 3D model construction, conventional image preprocessing methods exhibit low efficiency and inherent ine...
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Ya-Hong Wang, Jun-Jiang Li and Wen-Hao Su
Fusarium has become a major impediment to stable wheat production in many regions worldwide. Infected wheat plants not only experience reduced yield and quality but their spikes generate toxins that pose a significant threat to human and animal health. C...
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Junkang Qin, Xiao Wang, Dechang Mi, Qinmu Wu, Zhiqin He and Yu Tang
The study of human torso medical image segmentation is significant for computer-aided diagnosis of human examination, disease tracking, and disease prevention and treatment. In this paper, two application tasks are designed for torso medical images: the ...
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Tautvydas Fyleris, Andrius Kri?ciunas, Valentas Gru?auskas, Dalia Calneryte and Rimantas Barauskas
Urban change detection is an important part of sustainable urban planning, regional development, and socio-economic analysis, especially in regions with limited access to economic and demographic statistical data. The goal of this research is to create a...
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