SEHSNet: Stage Enhancement and Hierarchical Supervision Network for edge detection-Reference-Cited by-同舟云学术

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SEHSNet: Stage Enhancement and Hierarchical Supervision Network for edge detection

Published:2024-02-15 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Zhou Jianhang,Zhao Hongwei,Sun Mingsi

Funder

Provincial Science and Technology Innovation Special Fund Project of Jilin Province

Natural Science Foundation of Jilin Province

Fundamental Research Funds for the Central Universities of JLU

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00371-024-03280-y.pdf

Reference64 articles.

1. Ma, J., Wang, T., Li, G., Zhan, Q., Wu, D., Chang, Y., Xue, Y., Zhang, Y., Zuo, J.: Concrete surface roughness measurement method based on edge detection. The Visual Computer, 1–12 (2023)

2. Zhao, L., Zhao, Q., Liu, H., Lv, P., Gu, D.: Structural sparse representation-based semi-supervised learning and edge detection proposal for visual tracking. Vis. Comput. 33, 1169–1184 (2017)

3. Andersson, M., Johnsson, B., Munkberg, J., Clarberg, P., Hasselgren, J., Akenine-Möller, T.: Efficient multi-view ray tracing using edge detection and shader reuse. Vis. Comput. 27, 665–676 (2011)

4. Gaur, D., Mehrotra, D., Singh, K.: A new approach to simulate the dynamic behavior of particulate matter using a canny edge detector embedded piv algorithm. Vis. Comput. 39(9), 4293–4304 (2023)

5. Canny, J.: A Computational Approach to Edge Detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8(6), 679–698 (1986) https://doi.org/10.1109/TPAMI.1986.4767851

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