Puzicha, J., Buhmann, J.M.: Multiscale annealing for grouping and unsupervised texture segmentation. Computer Vision and Image Understanding: CVIU 76 (1999) 213--230 Home/Search Document Details and Download
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Texture Segmentation Using Gaussian-Markov Random Fields and.. - Çesmeli, Wang (2001) (Correct)
....[11] and unsupervised [10] 9] segmentation methods. The methods by Geman et al. 7] and Hofmann et al. 9] generate segmentation results of lower resolution than what we obtain. Because of the large resolution reduction, the two methods would lose boundary accuracy. Recently, Puzicha and Buhmann [17] improved the work of Hofmann et al. in terms of computation and resolution. After prior training and elaborate adjustment of several parameters, the methods by Geman et al. and Chellappa et al. 3] obtain similar results compared to ours. The results of Jain and Farrokhnia [10] would be similar ....
J. Puzicha and J. Buhmann, "Multiscale annealing for grouping and unsupervised texture segmentation," Computer Vision and Image Understanding, vol. 76, pp. 213--230, 1999.
Texture Boundary Detection for Real-Time Tracking - Shahrokni, Drummond, Fua (2004) (1 citation) (Correct)
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Puzicha, J., Buhmann, J.M.: Multiscale annealing for grouping and unsupervised texture segmentation. Computer Vision and Image Understanding: CVIU 76 (1999) 213--230
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