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Yaping Yan

Ph.D., Associate Professor

Pattern Learning and Mining (PALM) Lab,
School of Computer Science and Engineering, Southeast University

   yanseu.edu.cn
   Room 234, Building of Computer Science, Jiulonghu Campus, Southeast University, Nanjing, China

Research Interests

Education

Publications

  1. Accumulated and aggregated shifting of intensity for defect detection on micro 3D textured surfaces
    Yaping Yan, Shun’ichi Kaneko, and Hirokazu Asano
    Pattern Recognition, vol. 98, pp. 107057, 2020.

  2. LAP: a Bio-Inspired Local Image Structure Descriptor and Its Applications
    Songlin Du, Yaping Yan, and Yide Ma
    Multimedia Tools and Applications, vol. 76, no. 12, pp. 13973-13993, 2017.

  3. When spatial distribution unites with spatial contrast: an effective blind image assessment model
    Yaping Yan, Songlin Du, Hongjuan Zhang, and Yide Ma
    IET Image Processing, vol. 10, no. 12, pp. 1017-1028, 2016.

  4. Blind Image Quality Assessment With the Histogram Sequences of High-Order Local Derivative Patterns
    Songlin Du, Yaping Yan, and Yide Ma
    Digital Signal Processing, vol. 55, pp. 1-12, 2016.

  5. Unsupervised accumulated aggregation shifiting for robust defect detection in real industry
    Yaping Yan and Shun'ichi Kaneko
    International Conference on Quality Control by Artificial Vision (QCAV), pp. 30-35, 2019.

  6. Accumulated aggregation shifting based on feature enhancement for defect detection on 3D textured low-contrast surfaces
    Yaping Yan, Sheng Xiang, Hirokazu Asano, and Shun'ichi Kaneko
    International Conference on Pattern Recognition (ICPR), pp. 2965-2970, 2018.

  7. Robust defect detection on 3D textured low-contrast surfaces using accumulated aggregation shifting model
    Yaping Yan, Sheng Xiang, Hirokazu Asano, and Shun'ichi Kaneko
    France-Japan and Europe-Asia Congress on Mechatronics, pp. 110-115, 2018.

  8. Robust printing defect detection on 3D textured surfaces by multiple paired pixel consistency of orientation codes
    Sheng Xiang, Yaping Yan, Hirokazu Asano, and Shun'ichi Kaneko
    France-Japan and Europe-Asia Congress on Mechatronics, pp. 373-378, 2018.

  9. Automated Breast Mass Segmentation Using Pulse-Coupled Neural Network and Distance Regularized Level Set Evolution: a Coarse-to-Fine Approach
    Songlin Du, Yaping Yan, and Yide Ma
    International Conference on Bioimaging (BIOIMAGING), pp. 17-24, 2016.

  10. Nonlinear local transformation based mammographic image enhancement
    Cuiping Ding, Min Dong, Hongjuan Zhang, Yide Ma, Yaping Yan, and Reyer Zwiggelaar
    Lecture Notes in Computer Science, pp. 167-173, 2016.

  11. Learning the Histogram Sequences of Generalized Local Ternary Patterns for Blind Image Quality Assessment
    Yaping Yan, Songlin Du, Hongjuan Zhang, and Yide Ma
    International Conference on Graphic and Image Processing (ICGIP), pp. 981707, 2015.

  12. Effective and Fully Automatic Image Segmentation Using Quantum Entropy and Pulse-Coupled Neural Networks
    Songlin Du, Yaping Yan, and Yide Ma
    International Conference on Graphic and Image Processing (ICGIP), pp. 944315, 2014.

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