Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
A new probability distribution is obtained, termed the mixed pixel distribution, appropriate for the mixing proportion in digital images when the point spread function has a bivariate normal density. It is used to derive the distribution of pixel values in X-ray CT images where pixels may be a mixture of two tissue types. In a simulation study it is shown that, by fitting this distribution to histograms of pixel values, tissue proportions are estimated more accurately than using threshold-based methods.
Wydawca
Rocznik
Tom
Strony
409--418
Opis fizyczny
Bibliogr. 7 poz., rys., tab.
Twórcy
autor
- Biomathematics and Statistics Scotland JCMB, King s Buildings, Edinburgh, EH9 3JZ, Scotland
autor
- Department of Mathematics and Statistics, University of Edinburgh JCMB, King's Buildings, Edinburgh, EH9 3JZ, Scotland
Bibliografia
- [1] Dore S., Kearney R.E. and De Guise J. A. (1997) Experimental correlation-based identification of X-ray CT point spread function. Part 1: method and experimental results, Medical & Biological Engineering & Computing, 35, 2-8
- [2] Foody G.M. and Cox D.P. (1994) Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions, International Journal of Remote Sensing, 15,619-631
- [3] Glasbey C.A. and Horgan G.W. (1995) Image Analysis for the Biological Sciences, Wiley, Chichester
- [4] Glasbey C. A., Robinson C.D. and Young M.J. (1999) Segmentation of X-ray CT images using stochastic templates, ICIAP'99 10th International Conference on Image Analysis and Processing, Venice, 746-751
- [5] Johnson N.L., Kotz S. and Balakrishnan N. (1994) Continuous Univariate Distributions, Volume 1 (2nd edition), Wiley, New York
- [6] Santago P. and Gage H.D. (1995) Statistical models of partial volume effect, IEEE Transactions on Image Processing, 4, 1531-1540
- [7] Simm G. (1992) Selection for lean meat production in sheep. In ‘Recent Advances in Sheep and Goat Research (ed A.W. Speedy), CAB International, 193-215
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0018-0034