Semi-Supervised Normalized Cuts for Image Segmentation
Performs semi-supervised image segmentation using the algorithm described in:
S. E. Chew and N. D. Cahill, "Semi-Supervised Normalized Cuts for Image Segmentation," Proc. International Conference on Computer Vision (ICCV), 2015.
Also contains implementations of other image segmentation approaches based on the Normalized Cuts algorithm and its generalizations, including the algorithms described in the following papers:
J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):888–905, Aug 2000.
S. X. Yu and J. Shi. Segmentation given partial grouping constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2):173–183, Feb 2004.
A. Eriksson, C. Olsson, and F. Kahl. Normalized cuts revisited: A reformulation for segmentation with linear grouping constraints. Journal of Mathematical Imaging and Vision, 39(1):45–61, 2011.
S.Maji, N. K. Vishnoi, and J.Malik. Biased normalized cuts. Proc. Computer Vision and Pattern Recognition (CVPR), 2057–2064, 2011.
All algorithms can be applied to an example image by running exampleScript.m.
Citar como
Nathan Cahill (2024). Semi-Supervised Normalized Cuts for Image Segmentation (https://www.mathworks.com/matlabcentral/fileexchange/52735-semi-supervised-normalized-cuts-for-image-segmentation), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation >
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