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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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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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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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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Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks
Communications on Applied Electronics, 2015 Gulshan Goyal, Ritika Luthra
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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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Branch Identification and Junction Points Location for Apple Trees Based on Deep Learning
Remote Sensing, 2022 Branch identification is key to the robotic pruning system for apple trees. High identification accuracy and the positioning of junction points between branch and trunk are important prerequisites for pruning with a robotic arm.
Siyuan Tong +5 more
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Image skeletonization based on combination of one- and two-sub-iterations models
Informatika, 2020 This paper is focused on the field of the skeletonization of the binary image. Skeletonization makes it possible to represent a binary image in the form of many thin lines, the relative position, sizes and shape of which adequately describe the size ...
J. Ma, V. Yu. Tsviatkou, V. K. Kanapelka
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