Showing 1 - 20 results of 40 for search 'defect ((segmentation algorithm) OR (selection algorithm))', query time: 0.25s Refine Results
  1. 1
  2. 2

    Defect detection results. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  3. 3

    Four types of surface defects. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  4. 4

    IoU. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  5. 5

    UpFPN model structure. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  6. 6

    Mechanical motion device. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  7. 7

    PAN-FPN model structure. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  8. 8

    Overall structure of the model. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  9. 9

    Comparison of model evaluation metrics. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  10. 10

    Deformable convolution improvement details. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  11. 11

    System working principle. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  12. 12

    System signal. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  13. 13

    Five-fold tests. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  14. 14

    Image cropping. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  15. 15

    Model cross-sectional comparison. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  16. 16

    Line fringe structured light generation process. by Guofeng Qin (11025170)

    Published 2025
    “…In the aspect of image acquisition, this paper selected the line fringe structured light as the system light source, which made up for the problem that the traditional light source does not reflect the defect characteristics. …”
  17. 17

    CHIGA's impact on defect prediction performance by Sheunopa Charumbira (21011003)

    Published 2025
    “…<p dir="ltr">The study introduces CHIGA (Chi-square Genetic Algorithm), a hybrid metric selection technique that enhances metric selection and improves defect prediction performance. …”
  18. 18

    Aluminum alloy industrial materials defect by Ying Han (20349093)

    Published 2024
    “…We have selected only single defect images and multiple defect images, which are 3,233 images in total. …”
  19. 19

    Vehicle transportation plan. by Chen Hao (352436)

    Published 2025
    “…An optimization method for medical waste collection site selection and vehicle routing is proposed. Given the NP-hard nature of the problem, a location allocation method based on minimum envelope clustering analysis is employed, and an improved NSGA-II algorithm incorporating a fast non-dominated sorting mechanism is designed to obtain Pareto optimal solutions. …”
  20. 20

    Hypervolumes of each result. by Chen Hao (352436)

    Published 2025
    “…An optimization method for medical waste collection site selection and vehicle routing is proposed. Given the NP-hard nature of the problem, a location allocation method based on minimum envelope clustering analysis is employed, and an improved NSGA-II algorithm incorporating a fast non-dominated sorting mechanism is designed to obtain Pareto optimal solutions. …”