Estimating statistics in arbitrary regions of interest

BMVC 2005 - Proceedings of the British Machine Vision Conference 2005

Volumn , Issue , 2005, Pages

  Kadir, Timor ^a,b   Brady, Michael ^b  

^a SIEMENS AG   (Germany)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ESTIMATION;

CONTROL POINT; CONVENTIONAL TECHNIQUES; DENSITY ESTIMATES; KERNEL SIZE; PARZEN WINDOWING; REGIONS OF INTEREST; VISION PROBLEMS; WEIGHTED HISTOGRAM;

PIXELS;

EID: 84898475028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.19.64     Document Type: Conference Paper

References (8)

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3. A. Papoulis and S. U. Pillai. Probability, Random Variables and Stochastic Processes. McGraw-Hill, 2002.
4. J. G. Proakis and D. G. Manolakis. Digital Signal Processing: principles, algorithms and applications. Macmillan, 1992.
5. B. Triggs. Empirical filter estimation for subpixel interpolation and matching. In Proc. Int. Conf. on Computer Vision, pages 550-557, 2001.
6. Chen Xiaohua, Daniel Rueckert, and Michael Brady. Simultaneous segmentation and registration for medical image. In Proc. of the 7th Int. Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI04), pages pp. 663-670, 2004.
7. Y. Zhang, Michael Brady, and S. Smith. Segmentation of brain MR images through a hidden Markov Random Field model and the expectation maximization algorithm. IEEE Trans. on Medical Images, 20(1): 45-57, 2001.
8. S.C. Zhu and A. Yuille. Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 18(9): 884-900, 1996.