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10 Results Found

  • Article
  • Open Access
23 Citations
4,307 Views
15 Pages

22 October 2020

In order to improve the accuracy of image edge detection, this paper studies the adaptive image edge detection technology based on discrete algorithm and classical Canny operator. First, the traditional sub-pixel edge detection method is illustrated...

(This article belongs to the Special Issue Mathematical Modeling and Computational Methods in Science and Engineering II)
  • Article
  • Open Access
18 Citations
8,211 Views
14 Pages

Application of Deep Learning Workflow for Autonomous Grain Size Analysis

  • Alexandre Bordas,
  • Jingchao Zhang and
  • Juan C. Nino

28 July 2022

Traditional grain size determination in materials characterization involves microscopy images and a laborious process requiring significant manual input and human expertise. In recent years, the development of computer vision (CV) has provided an alt...

(This article belongs to the Special Issue Application of Computer Simulation in Materials Science of Molecules)
  • Article
  • Open Access
51 Citations
11,045 Views
16 Pages

Deep Learning Method for Recognition and Classification of Images from Video Recorders in Difficult Weather Conditions

  • Aleksey Osipov,
  • Ekaterina Pleshakova,
  • Sergey Gataullin,
  • Sergey Korchagin and ,
  • Mikhail Ivanov,
  • Anton Finogeev and
  • Vibhash Yadav
  • + 2 authors+ 0 author

20 February 2022

The sustainable functioning of the transport system requires solving the problems of identifying and classifying road users in order to predict the likelihood of accidents and prevent abnormal or emergency situations. The emergence of unmanned vehicl...

(This article belongs to the Special Issue Public Transport Integration, Urban Density and Sustainability)
  • Article
  • Open Access
46 Views
24 Pages

4 November 2026

Maritime search-and-rescue (SAR) operations typically involve scanning vast sea areas for sparse targets with often unknown appearances, making the process highly labour- and capital-intensive. Automating this task using reconnaissance drones and com...

(This article belongs to the Special Issue Intelligent Mechanical Systems: Dynamics, Control, Perception, and Functional Design)
  • Article
  • Open Access
30 Citations
6,875 Views
24 Pages

6 February 2019

The automated process of construction defect detection using non-contact methods provides vital information for quality control and updating building information modelling. The external cladding in modular construction should be regularly controlled...

  • Article
  • Open Access
522 Views
20 Pages

Structural and Computational Analysis of Segmentation Pipelines for Broiler Carcass Inspection Under Industrial Acquisition Conditions

  • Jamile Raquel Regazzo,
  • Lilian Elgalise Techio Pereira,
  • Adriano Rogério Bruno Tech,
  • Cíntia Cristina Soares and ,
  • Bianca Martins Tintim and
  • Murilo Mesquita Baesso
  • + 1 author+ 0 author

The development of reliable computer vision systems for poultry slaughterhouses requires robust segmentation methods capable of handling challenging industrial conditions. This study evaluated the structural behavior, computational performance, and c...

(This article belongs to the Section Computer Applications and Artificial Intelligence in Agriculture)
  • Article
  • Open Access
1 Citations
2,069 Views
26 Pages

13 March 2025

Depth completion is a technique to densify the sparse depth maps acquired by depth sensors (e.g., RGB-D cameras, LiDAR) to generate complete and accurate depth maps. This technique has important application value in autonomous driving, robot navigati...

(This article belongs to the Special Issue Recent Advances in Artificial Intelligence and Machine Learning, 2nd Edition)
  • Article
  • Open Access
1,288 Views
19 Pages

Rotation- and Scale-Invariant Object Detection Using Compressed 2D Voting with Sparse Point-Pair Screening

  • Chenbo Shi,
  • Yue Yu,
  • Gongwei Zhang,
  • Shaojia Yan and ,
  • Changsheng Zhu,
  • Yanhong Cheng and
  • Chun Zhang
  • + 2 authors+ 0 author

The Generalized Hough Transform (GHT) is a powerful method for rigid shape detection under rotation, scaling, translation, and partial occlusion conditions, but its four-dimensional accumulator incurs prohibitive computational and memory demands that...

  • Article
  • Open Access
1 Citations
938 Views
17 Pages

An Approach for Spectrum Extraction Based on Canny Operator-Enabled Adaptive Edge Extraction and Centroid Localization

  • Ao Li,
  • Xinlan Ge,
  • Zeyu Gao,
  • Qiang Yuan and ,
  • Yong Chen,
  • Chao Yang,
  • Licheng Zhu,
  • Shiqing Ma,
  • Shuai Wang and
  • Ping Yang
  • + 5 authors+ 0 author

10 February 2026

In adaptive optics systems, high spatial resolution detection is a core prerequisite for achieving accurate wavefront correction. High spatial resolution wavefront measurement based on the traditional Shack-Hartmann technique is limited by the densit...

(This article belongs to the Special Issue Challenges and Future Directions in Adaptive Optics Technology, 2nd Edition)
  • Article
  • Open Access
46 Citations
6,431 Views
23 Pages

22 June 2021

Glaciers and numerous glacial lakes that are produced by glacier melting are key indicators of climate change. Often overlooked, supra-glacial lakes develop in the melting area in the low-lying part of a glacier and appear to be highly variable in th...

(This article belongs to the Special Issue Applications of Remote Sensing in Glaciology)