Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-94211-7_5
Reference25 articles.
1. Allili, M.S., Ziou, D., Bouguila, N., Boutemedjet, S.: Image and video segmentation by combining unsupervised generalized gaussian mixture modeling and feature selection. IEEE Trans. Circuits Syst. Video Technol. 20(10), 1373–1377 (2010)
2. Bouguila, N.: Spatial color image databases summarization. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007, vol. 1, pp. I–953. IEEE (2007)
3. Bouguila, N., ElGuebaly, W.: Integrating spatial and color information in images using a statistical framework. Expert Syst. Appl. 37(2), 1542–1549 (2010)
4. Lecture Notes in Computer Science;N Bouguila,2005
5. Channoufi, I., Bourouis, S., Bouguila, N., Hamrouni, K.: Color image segmentation with bounded generalized gaussian mixture model and feature selection. In: 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP 2018) (2018)
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