Search Results - "threshold segmentation algorithm"

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  1. 1

    ACO threshold segmentation algorithm based on regional dual thresholding optimization by Liu, Zhiqiang, Chen, Song, Wan, Jiaxing, Guo, Chengjun, Wang, Ye

    ISSN: 0268-3768, 1433-3015
    Published: London Springer London 01.10.2025
    “…Tool wear state is one of the important factors that directly affect the quality of workpiece processing, such as manual observation of tool wear; due to…”
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    Journal Article
  2. 2

    Threshold segmentation algorithm for automatic extraction of cerebral vessels from brain magnetic resonance angiography images by Wang, Rui, Li, Chao, Wang, Jie, Wei, Xiaoer, Li, Yuehua, Zhu, Yuemin, Zhang, Su

    ISSN: 0165-0270, 1872-678X, 1872-678X
    Published: Netherlands Elsevier B.V 15.02.2015
    Published in Journal of neuroscience methods (15.02.2015)
    “… Cerebrovascular segmentation plays an important role in medical diagnosis. This study was conducted to develop a threshold segmentation algorithm for automatic extraction…”
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    Journal Article
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    A Threshold Segmentation Algorithm for Sculpture Images Based on Sparse Decomposition by Yang, Zhao, Wan, Jixin

    ISSN: 1024-123X, 1563-5147
    Published: New York Hindawi 23.06.2022
    Published in Mathematical problems in engineering (23.06.2022)
    “…Aiming at the problem of low efficiency and insufficient accuracy of threshold solution in multithreshold sculpture image segmentation, this paper proposes a threshold segmentation algorithm…”
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    Journal Article
  5. 5

    Characterization of coal permeability considering fracture shape—Using the MP-Otsu threshold segmentation algorithm by Wang, Gang, Chen, Xuechang, Liu, Jiangfeng, Zhang, Zhenyu, Huang, Qiming, Xu, Hao

    ISSN: 2950-2764, 2950-2764
    Published: Elsevier B.V 01.12.2024
    Published in Journal of Industrial Safety (01.12.2024)
    “…Coal seepage simulation based on digital images is capable of visualizing the three-dimensional seepage process and providing permeability data. However,…”
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    Journal Article
  6. 6

    Application of a smart 18F-FDG-PET adaptive threshold segmentation algorithm for the biological target volume delineation in head and neck cancer by Deantonio, Letizia, Vigna, Luca, Paolini, Marina, Matheoud, Roberta, Sacchetti, Gian M, Masini, Laura, Loi, Gianfranco, Brambilla, Marco, Krengli, Marco

    ISSN: 1827-1936, 1827-1936
    Published: 01.09.2023
    “…The aim of the present study is to evaluate the reliability of a 18F-fluorodeoxyglucose (18F-FDG) PET adaptive threshold segmentation (ATS) algorithm,…”
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    Journal Article
  7. 7

    A surface defect identification method based on improved threshold segmentation algorithm by Feng, Xinglong, Gao, Xianwen, Luo, Ling

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.11.2020
    Published in Journal of physics. Conference series (01.11.2020)
    “…For enterprises, defect detection is very important because it is related to the quality of products produced by enterprises. With the development of machine…”
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    Journal Article
  8. 8

    Three-Dimensional Reconstruction of Two-Dimensional Cardiovascular Angiography Image Sequences by Local Threshold Segmentation Algorithm by Yu, Shenming

    ISSN: 1058-9244, 1875-919X
    Published: New York Hindawi 07.01.2022
    Published in Scientific programming (07.01.2022)
    “…The study focused on the extraction of cardiovascular two-dimensional angiography sequences and the three-dimensional reconstruction based on the local threshold segmentation algorithm…”
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    Journal Article
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    Application of a smart [18F] FDG-PET adaptive threshold segmentation algorithm for the biological target volume delineation in head and neck cancer by Deantonio, Letizia, Vigna, Luca, Paolini, Marina, Matheoud, Roberta, Sacchetti, Gian Mauro, Masini, Laura, Loi, Gianfranco, Brambilla, Marco, Krengli, Marco

    ISSN: 1827-1936
    Published: Italy 03.03.2022
    “…The aim of the present study is to evaluate the reliability of a 18F-Fluorodeoxyglucose ([18F]FDG) PET adaptive threshold segmentation (ATS) algorithm,…”
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    Journal Article
  11. 11

    A Threshold Segmentation Algorithm Based on Coupled Object Similarity by SUN Jinguang,ZHAO Xin

    ISSN: 1000-3428
    Published: Editorial Office of Computer Engineering 01.10.2016
    Published in Ji suan ji gong cheng (01.10.2016)
    “… histogram distribution,a new threshold segmentation algorithm is proposed in this paper.Firstly,a model of Coupled Object Similarity(COS…”
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    Journal Article
  12. 12

    Image Threshold Segmentation Algorithm Based on Histogram Statistical Property by Lai, Zhong An, Li, Hong, Lei, Jun Wei

    ISBN: 9783038352464, 3038352462
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Published: Zurich Trans Tech Publications Ltd 01.09.2014
    Published in Applied Mechanics and Materials (01.09.2014)
    “… To solve this problem, the paper uses the thinking of Otsu’s method for reference, introduces a threshold segmentation algorithm based on histogram statistical property…”
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    Journal Article
  13. 13

    Analysis of crack characteristics of expansive soil based on multi-threshold segmentation algorithm by Jian, Aosong, Xu, Guoyuan

    ISSN: 1673-9787
    Published: Jiaozuo Henan Polytechnic University 01.01.2023
    Published in 河南理工大学学报. 自然科学版 (01.01.2023)
    “… It could be seen from the test results that the multi-threshold segmentation algorithm could clearly identify the different components in CT images…”
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    Journal Article
  14. 14

    An Adaptive Threshold Segmentation Algorithm for Gesture Segmentation by Fu, Zhou Xing, Wang, Mei, Meng, Guo Qing, Lin, Jzau Sheng

    ISBN: 9783038350125, 3038350125
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Published: Zurich Trans Tech Publications Ltd 06.02.2014
    Published in Applied Mechanics and Materials (06.02.2014)
    “…The key step for gesture recognition is hand gesture segmentation. A new dynamic thresholding segmentation approach named Adaptive Threshold Segmentation Algorithm (ATSA) was developed…”
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  15. 15

    Threshold segmentation algorithm for infrared small target in agriculture and forestry fire by Wang, Yuchao, Fu, Huixuan, Lin, Dehua

    ISSN: 1934-1768
    Published: TCCT 01.07.2016
    Published in Chinese Control Conference (01.07.2016)
    “…A novel image segmentation for infrared small target of agriculture and forestry fire is proposed in this paper. Usually, Maximum Variance Image Segmentation…”
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    Conference Proceeding Journal Article
  16. 16

    A new remote sensing index of mildew for winter wheat disaster area extraction by Li, Huade, Zhang, Jinshui, Chen, Zhenghua, Zhang, Mingwei

    ISSN: 1753-8947, 1753-8955
    Published: Taylor & Francis Group 31.12.2025
    Published in International journal of digital earth (31.12.2025)
    “… on multispectral remote sensing data combined with an automatic threshold segmentation algorithm to quickly extract…”
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    Journal Article
  17. 17

    Urban built-up area extraction using triangle threshold algorithm and Naive Bayes classification model with multidata fusion by Li, Yuan, Zhong, Xia, Liu, Hua, Liao, Ming, Lu, Yue-feng, Liu, Bo

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 17.11.2025
    Published in Scientific reports (17.11.2025)
    “…Accurate identification of urban built-up areas is crucial for monitoring urbanization and promoting sustainable development. To overcome the limitations of…”
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    Journal Article
  18. 18

    Cafeteria Self-Service Billing System Based on YOLOv11 and HSV Threshold Segmentation Algorithm by Wang, Hailun, Wang, Wensheng, He, Junyao

    Published: IEEE 28.02.2025
    “… This design flexibly combines the YOLOv11 target detection algorithm and the HSV threshold segmentation algorithm, and the YOLOv11 algorithm improves the backbone and neck architecture, which greatly…”
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    Conference Proceeding
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    Image Recognition Study on Leaf Characteristics of Medicinal Plants Based on Otsu Dynamic Threshold Segmentation Algorithm by Yuan, Zihang, Xie, Yanxin, Wu, Wenqiang, Guo, Xingyu, Wang, Yuxiang, Zhao, Xin, Bi, Yidan, Pradeep Kumar, S

    Published: IEEE 02.12.2022
    “…This experiment is designed to realize the recognition of different plants, and the main direction is to study based on the characteristics of plant leaves…”
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    Conference Proceeding