Infrared Technology, Volume. 47, Issue 5, 611(2025)
Typical Infrared Object Segmentation Based on Sparse Shape Prior and Variational Regularization
[4] [4] CHEN Yadang, HAO Chuanyan, YANG Zhixin, et al. Fast target-aware learning for few-shot video object segmentation[J].Science China:Information Sciences, 2022,65(8): 71-86.
[5] [5] SHENG Z. Research of SVM-Based infrared small object segmentation and clustering method[J].Signal Processing, 2005,12(3): 387-392.
[6] [6] SONG I, KIM S. AVILNet: a new pliable network with a novel metric for small-object segmentation and detection in infrared images[J].IEEE Transactions on Image Processing, 2020,48(12): 127-136.
[10] [10] ZHANG S, ZHAN Y, DEWAN M, et al. Towards robust and effective shape modeling: Sparse shape composition[J].Medical Image Analysis, 2012,16(1): 265-277.
[11] [11] ZHANG S, ZHAN Y, DEWAN M, et al. Sparse shape composition: A new framework for shape prior modeling[C]//CVPR, 2011: 1025-1032.
[12] [12] Ibragimov B, Likar B, Pernu F, et al. Shape representation for efficient landmark-based segmentation in 3-D[J].IEEE Transactions on Medical imaging, 2014,33(4): 861-874.
[13] [13] Javanmardi M, Sajjadi M, LIU T, et al. Unsupervised total variation loss for semi-supervised deep learning of semantic segmentation[J]. arXiv preprint arXiv: 1605.01368, 2016.
[14] [14] Bredies K, Holler M. Higher-order total variation approaches and generalisations[J].Inverse Problems,2020,36(12): 123001.
[15] [15] Chan T F, Vese L A. Active contours without edges[J].IEEE Transactions on Image Processing, 2001,10(2): 266-277.
[16] [16] Kalogerakis E, Chaudhuri S, Koller D, et al. A probabilistic model for component-based shape synthesis[J].ACM Transactions on Graphics(TOG), 2012,31(4): 1-11.
[17] [17] Aslan M S, Shalaby A, Abdelmunim H, et al. Probabilistic shape-based segmentation method using level sets[J].IET Computer Vision, 2014,8(3): 182-194.
[18] [18] Adams J, Bhalodia R, Elhabian S. Uncertain-deepssm: From images to probabilistic shape models[C]//International Workshop on Shape in Medical Imaging, 2020: 57-72.
[19] [19] ZHANG S, ZHAN Y, Metaxas D N. Deformable segmentation via sparse representation and dictionary learning[J].Medical Image Analysis, 2012,16(7): 1385-1396.
[20] [20] Scetbon M, Elad M, Milanfar P. Deep KSVD denoising[J].IEEE Transactions on Image Processing, 2021,30: 5944-5955.
[21] [21] Kaick O V, Fish N, Kleiman Y, et al. Shape segmentation by approximate convexity analysis[J].ACM Transactions on Graphics(TOG), 2014,34(1): 1-11.
[22] [22] VU N, Manjunath B S. Shape prior segmentation of multiple objects with graph cuts[C]//2008IEEE Conference on Computer Vision and Pattern Recognition.IEEE, 2008: 1-8.
[23] [23] HE Z, HE Y, CAO W. Deformable image registration with attention-guided fusion of multi-scale deformation fields[J].Applied Intelligence, 2022,24(12): 1-15.
Get Citation
Copy Citation Text
CAO Min, WANG Yao. Typical Infrared Object Segmentation Based on Sparse Shape Prior and Variational Regularization[J]. Infrared Technology, 2025, 47(5): 611