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REFERENCESAllard, D., and Fraley, C. (1997) “Nonparametric Maximum Likelihood Estimation<strong>of</strong> Features in Spatial Point Processes Using Voronoi Tesselation,”Journal <strong>of</strong> the American Statistical Association, vol. 92, pp. 1485-1493.Ambroise, C., Dang, M., and Govaert, G. (1996), ”Clustering <strong>of</strong> Spatial Data bythe EM Algorithm,” unpublished manuscript.Ambroise, C., and Govaert, G. (1996) “Constrained Clustering and KohonenSelf-Organizing Maps” Journal <strong>of</strong> Classification, vol. 13, pp. 299-313.Banfield, J.D., and Raftery, A.E. (1992), “Ice Floe Identification in SatelliteImages Using Mathematical Morphology and Clustering about PrincipalCurves,” Journal <strong>of</strong> the American Statistical Association, 87, 7-16.Banfield, J.D., and Raftery, A.E. (1993), “Model-Based Gaussian and Non-Gaussian Clustering,” Biometrics, 49, 803–821.Besag, J. (1974), ”Spatial Interaction and the Statistical Analysis <strong>of</strong> Lattice Systems,”Journal <strong>of</strong> the Royal Statistical Society, Series B, 6, 192-236.Besag, J. (1986), ”Statistical Analysis <strong>of</strong> Dirty Pictures,” Journal <strong>of</strong> the RoyalStatistical Society, Series B, 48, 259-302.Bovik, A.C., and Munson, D.C. (1986), “Edge Detection Using Median Comparisons,”Computer Vision, Graphics, and Image Processing, 33, 377-389.Burdick, H. (1997) Digital Imaging. McGraw-Hill: New York.Byers, S.D., and Raftery, A.E. (1998), “Nearest Neighbor Clutter Removal forEstimating Features in Spatial Point Processes,” Journal <strong>of</strong> the AmericanStatistical Association, 93, 577-584.

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