Ellipse detection using the edges extracted by deep learning-Reference-Cited by-同舟云学术

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Ellipse detection using the edges extracted by deep learning

Published:2022-07 Issue:4 Volume:33 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Liu Chicheng,Chen Rui,Chen Ken,Xu Jing^ORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s00138-022-01319-5.pdf

Reference37 articles.

1. Fornaciari, M., Prati, A., Cucchiara, R.: A fast and effective ellipse detector for embedded vision applications. Pattern Recogn. 47(11), 3693–3708 (2014)

2. Cakir, H.I., Benligiray, B., Topal, C.: Combining feature-based and model-based approaches for robust ellipse detection. In: 2016 24th European Signal Processing Conference (EUSIPCO), pp. 2430–2434. IEEE (2016)

3. Liang, J., Wang, Y., Zeng, X.: Robust ellipse fitting via half-quadratic and semidefinite relaxation optimization. IEEE Trans. Image Process. 24(11), 4276–4286 (2015)

4. Hu, Z., Feipeng, D., Qin, L.: Self-calibration using two same circles. Chin. J. Sci. Instrum. 3, 618–624 (2010)

5. Teutsch, C., Berndt, D., Trostmann, E., Weber, M.: Real-time detection of elliptic shapes for automated object recognition and object tracking. In: Machine Vision Applications in Industrial Inspection XIV, vol. 6070, p. 60700. International Society for Optics and Photonics (2006)

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