1. C. Sun, M. Berman, D. Coward, and B. Osborne. Thickness Measurement and Crease Detection of Wheat Grains Using Stereo Vision. Pattern Recognition Letters, 28(12):1501--1508, September 2007. [bibtex-entry]



2. C. Sun, R. Jones, H. Talbot, X. Wu, K. Cheong, R. Beare, M.J. Buckley, and M. Berman. Measuring the Distance of Vegetation from Powerlines Using Stereo Vision. ISPRS Journal of Photogrammetry and Remote Sensing, 60(4):269--283, June 2006. [bibtex-entry]



3. M. Berman, H. Kiiveri, R. Lagerstrom, A. Ernst, R. Dunne, and J. Huntington. ICE: A statistical approach to identifying endmembers. IEEE Transactions on Geoscience and Remote Sensing, 42:2085-2095, 2004. [bibtex-entry]



4. C. Evans, R. Jones, I. Svalbe, and M. Berman. Segmenting multispectral Landsat TM images into field units. IEEE Transactions on Geoscience and Remote Sensing, 40:1054-1064, 2002. [bibtex-entry]



5. M. Berman. Invited discussion on ``A penalized likelihood approach to image warping''. Journal of the Royal Statistical Society: Series B, 63(3):499, 2001. [bibtex-entry]



6. M. Berman. Invited discussion on ``Practical maximum pseudolikelihood for spatial point patterns''. Australian and New Zealand Journal of Statistics, 42:318--320, 2000. [bibtex-entry]



7. M. Berman and M.J. Buckley. Automated inspection, measurement and prediction using image analysis. The Quality Magazine, 7:69-72, 1998. [bibtex-entry]



8. C. A. Glasbey, M. Berman, and H. M. Hudson. Image analysis and tomography. In P. Armitage and T. Colton, editors,Encyclopaedia of Biostatistics, pages 1980--1998. John Wiley and Sons, New York, 1998. [bibtex-entry]



9. T.C.M. Lee and M. Berman. Nonparametric estimation and simulation of two-dimensional Gaussian image textures. Graphical Models and Image Processing, 59(6):434-445, 1997. [bibtex-entry]



10. M. Berman, M.L. Bason, F. Ellison, G. Peden, and C.W. Wrigley. Image analysis of whole grains to screen for flour-milling yield in wheat breeding. Cereal Chemistry, 73:323-327, 1996. [bibtex-entry]



11. C. A. Glasbey and M. Berman. A review of image analysis in biometry. In P. Armitage and H.A. David, editors,Advances in Biometry, pages 385-403. John Wiley and Sons, New York, 1996. [bibtex-entry]



12. M. Berman, L. Bischof, E.J. Breen, and G.M. Peden. Image Analysis. Materials Forum, 18:1-19, 1994. [bibtex-entry]



13. M. Berman, L. Bischof, S.J. Davies, A.A. Green, and M. Craig. Estimating band-to-band misregistrations in aliased imagery. CVGIP: Graphical Models and Image Processing, 56(6):479-493, 1994. [bibtex-entry]



14. M. Berman. Automated smoothing of image and other regularly spaced data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:460-468, 1994. [bibtex-entry]



15. M. Berman and T.R. Turner. Approximating point process likelihoods with GLIM. Applied Statistics, 41:31-38, 1992. [bibtex-entry]



16. J.B. Lee, A.S. Woodyatt, and M. Berman. Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform. IEEE Transactions on Geoscience and Remote Sensing, 28:295-304, 1990. [bibtex-entry]



17. M. Berman. The asymptotic statistical behaviour of some estimators for a circular structural model. Statistics and Probability Letters, 7:413-416, 1989. [bibtex-entry]



18. M. Berman. Large sample bias in least squares estimators of a circular arc center and its radius. Computer Vision, Graphics and Image Processing, 45:126-128, 1989. [bibtex-entry]



19. M. Berman and P. Diggle. Estimating weighted integrals of the second-order intensity of a spatial point process. Journal of the Royal Statistical Society, Series B, 51:81-92, 1989. [bibtex-entry]



20. A.A. Green, M. Berman, P.Switzer, and M. D. Craig. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, 26:65-74, 1988. [bibtex-entry]

1. M. Berman. Some unmixing problems and algorithms in spectroscopy and hyperspectral imaging. In Proc. 35th Applied Imagery and Pattern Recognition Workshop, Washington DC, 2006.
   Note: Invited. [bibtex-entry]



2. M. Berman, A. Phatak, and P. Vallotton. Hyperspectaral image analysis: some applications in biotechnology and their prospective solutions. In Proc. MICCAI Workshop on Biophotonics Imaging for Diagnosis and Treatment, Copenhagen, Denmark, pages 1--6, 2006.
   Note: Invited. [bibtex-entry]



3. M. Berman, A. Phatak, and R. Lagerstrom. ICE: A statistical approach to identifying endmembers in biomedical hyperspectral images. In SPIE Proceedings, volume 5694, San Jose, U.S.A., pages 62-73, 2005. [bibtex-entry]



4. J. Huntington, A. Mauger, R. Skirrow, E. Bastrakov, P. Connor, P. Mason, J. Keeling, D. Coward, M. Berman, R. Phillips, L. Whitbourn, and P. Heithersay. Automated mineralogical core logging at the Emmie Bluff, iron oxide copper gold prospect, South Australia. In Proc. PACRIM 2004, Adelaide, Australia, pages 223-230, 2004. [bibtex-entry]



5. M. Berman, H. Kiiveri, R. Lagerstrom, A. Ernst, R. Dunne, and J. Huntington. ICE: An automated statistical approach to identifying endmembers. In Proc. 2003 IEEE International Geoscience and Remote Sensing Symposium, volume 1, Toulouse, France, pages 279-283, July 2003. [bibtex-entry]



6. M. Berman, L. Bischof, and J. Huntington. Algorithms and software for the automated identification of minerals using field spectra or hyperspectral imagery. In Proceedings of the 13th International Conference on Applied Geologic Remote Sensing, volume 1, Vancouver, Canada, pages 222--232, 1999. [bibtex-entry]



7. T.C.M. Lee and M. Berman. Nonparametric estimation and simulation of two-dimensional Gaussian image textures. In Lynne Billard and Nicholas I. Fisher, editors, Computing Science and Statistics, 28, Sydney, Australia, pages 115-120, July 1996. Interface Foundation of North America. [bibtex-entry]



8. M. Berman, M.L. Bason, F. Ellison, G. Peden, and C.W. Wrigley. Prediction of milling yield by image analysis of whole grains to screen yield in wheat breeding. In Proc. 45th Australian Cereal Chemistry Conference, pages 227-231, 1995. [bibtex-entry]



9. R. Adams, M. Berman, M. Buckley, D.I. Farrant, C.H. Freund, Z. Hegedus, B.F. Oreb, and C.J. Walsh. Measurements of fine tolerance automotive components using light sectioning techniques. In Proc. 26th ISATA Meeting: Laser Applications for the Automotive Industries, pages 403-409, 1993. [bibtex-entry]



10. M.L. Bason, G.M. Peden, S. Zounis, C. Wrigley, and M. Berman. Detection of red-grained wheat by tristimulus colorimetry and digital image analysis. In Proc. 43rd Aust. Cereal Chemistry Conference, pages 29-34, 1993. [bibtex-entry]



11. E.J. Breen, G.M. Peden, M.J. Buckley, M. Berman, and Y. Jiang. mage analysis and capture for the material sciences at CSIRO Division of Mathematics and Statistics.. In , Microscopy: Material & Methods., pages 37-41, 1993. IMMA Conference Proceedings. [bibtex-entry]



12. M. Berman. Some statistical problems arising in the analysis of image data. In Proceedings of the XVIth International Biometric Conference, Hamilton, New Zealand, pages 265-278, 1992. [bibtex-entry]



13. M. Berman. Automated smoothing of image data. In Digital Image Computing: Techniques and Applications, Melbourne, Australia, pages 297-305, 1991. [bibtex-entry]



14. M. Berman, A.A. Green, L. Bischof, S.J. Davies, and M. Craig. Estimating band-to-band misregistrations in multivariate imaging. In Proc. 23rd Symp. on the Interface, Seattle, pages 587-592, 1991. [bibtex-entry]



15. M. Berman, A.A. Green, L. Bischof, S.J. Davies, and M. Craig. A comparison of methods for estimating band-to-band misregistrations. In Proc 5th Australasian Remote Sensing Conference, Perth, pages 987-996, 1990. [bibtex-entry]



16. M. Berman. Automated destriping of aircraft scanner imagery. In Image Processing and the Impact of New Technologies, Melbourne, Australia pages = 205-206, 1989. [bibtex-entry]

1. M. Berman. Editor, Special issue on image analysis, Statistics and Computing, 10:91-182,2000. [bibtex-entry]

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