Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing [PDF]
Sensors, 2023 Crack disease is one of the most serious and common diseases in road detection. Traditional manual methods for measuring crack detection can no longer meet the needs of road crack detection. In previous work, the authors proposed a crack detection method
Zhongbo Li, Chao Yin, Xixuan Zhang
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Testing a Method Based on an Improved UNet and Skeleton Thinning Algorithm to Obtain Branch Phenotypes of Tall and Valuable Trees Using Abies beshanzuensis as the Research Sample [PDF]
Plants, 2023 Sudden changes in the morphological characteristics of trees are closely related to plant health, and automated phenotypic measurements can help improve the efficiency of plant health monitoring, and thus aid in the conservation of old and valuable tress.
Jiahui Shen +9 more
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Near-Infrared Forearm Vascular Width Calculation Using Radius Estimation of Tangent Circle [PDF]
BioengineeringIn response to the analysis of the functional status of forearm blood vessels, this paper fully considers the orientation of the vascular skeleton and the geometric characteristics of blood vessels and proposes a blood vessel width calculation algorithm ...
Qianru Ji +5 more
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Tunnel Crack Detection Method and Crack Image Processing Algorithm Based on Improved Retinex and Deep Learning [PDF]
Sensors, 2023 Tunnel cracks are the main factors that cause damage and collapse of tunnel structures. How to detect tunnel cracks efficiently and avoid safety accidents caused by tunnel cracks effectively is a research hotspot at present. In order to meet the need for
Jie Wu, Xiaoqian Zhang
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SkelPy: A graphic user interface-based approach for skeletonizing fungal networks. [PDF]
Appl Plant SciAbstract Premise Traditional methods to quantify mycelial growth rely on destructive sampling to quantify biomass. Moreover, these approaches limit continuous observation and require a sufficient mass to measure. Recent work examines hyphal network traits by reconstructing the hyphal network from spatial coordinates via images, providing information ...
Madrigal M +3 more
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An in situ image-based phenotyping system for hydroponic maize seedling roots based on DB-UNet and customized skeleton-based analysis [PDF]
Frontiers in Plant ScienceRoot phenotype is a key agronomic trait affecting maize growth and development. In situ observation and high-precision root phenotypic analysis provide important support for monitoring maize growth.
Yurong Guo +10 more
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Automated Honey Bee Subspecies Identification Using Advanced Wing Venation Analysis and Adaptive Hierarchical Clustering [PDF]
Ecology and EvolutionAccurate honey bee subspecies identification is vital for biodiversity conservation and pollination resilience, yet current methods face critical limitations.
Shahram Dadgostar +3 more
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GraphReco: Probabilistic Structure Recognition for Chemical Molecules. [PDF]
ChemistryOpenMolecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Wang H, Yu Y, Liu JC.
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Two-step skeletization of binary images based on the Zhang-Suen model and the producing mask
Системный анализ и прикладная информатика, 2021 The aim of the work is to limit excessive thinning and increase the resistance to contour noise of skeletons resulted from arbitrary binary image shape while maintaining a high skeletonization rate.
J., Ma +2 more
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Track Line Recognition Based on Morphological Thinning Algorithm
Applied Sciences, 2022 In the field of intelligent driving of freight trains, determining the track line ahead of the train is an important function in the autopilot technology of such trains.
Weilong Niu +4 more
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