Equivalent convolution strategy for the evolution computation in parametric active contour model
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11554-024-01434-8.pdf
Reference21 articles.
1. Chang, J.X., Gao, X.J., Yang, Y.W., Wang, N.: Object-oriented building contour optimization methodology for image classification results via generalized gradient vector flow snake model. Remote Sens. 13(12), 2406 (2021)
2. Mewada, H., Al-Asad, J.F., Patel, A., Chaudhari, J., Mahant, K., Vala, A.: A fast region-based active contour for non-rigid object tracking and its shape retrieval. Peer J. Comput. Sci. (2021)
3. Codari, M., Scarabello, M., Secchi, F., Sforza, C., Baselli, G., Sardanelli, F.: Fully automated contour detection of the ascending aorta in cardiac 2d phase-contrast MRI. Magn. Reson. Imaging 47, 77–82 (2018)
4. Farhangi, M.M., Frigui, H., Seow, A., Amini, A.A.: 3-d active contour segmentation based on sparse linear combination of training shapes (SCoTS). IEEE Trans. Med. Imaging 36(11), 2239–2249 (2017)
5. Dong, B., Weng, G., Jin, R.: Active contour model driven by self organizing maps for image segmentation. Expert Syst. Appl. 177, 114948 (2021)
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