A novel texture segmentation method based on co-occurrence energy-driven parametric active contour model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/article/10.1007/s11760-017-1206-4/fulltext.html
Reference24 articles.
1. Karasev, P., Kolesov, I., et al.: Interactive medical image segmentation using PDE control of active contours. IEEE Trans. Med. Imaging 32(11), 2127–2139 (2013)
2. Liu, G., Sun, X., et al.: Interactive geospatial object extraction in high resolution remote sensing images using shape-based global minimization active contour model. Pattern Recognit. Lett. 34(10), 1186–1195 (2013)
3. Tatu, A., Bansal, S.: A novel active contour model for texture segmentation. In: International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer (2015)
4. Cimpoi, M., Maji, S., Vedaldi, A.: Deep filter banks for texture recognition and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2015)
5. Andrearczyk, V., Whelan, P.F.: Texture segmentation with fully convolutional networks. arXiv preprint arXiv:1703.05230 (2017)
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