Variables applied in a NMR image decomposition with the aid of GCCA

• Autorzy: Grzegorek M.
• Języki publikacji: EN

Abstrakty

EN

The paper describes the influence of variable selection on an image decomposition. A NMR image is a source of a set of variables describing pixels of the image: gray level, gradient magnitude and seven variables derived from gradient magnitudes of neighbouring pixels. A selection of the variables is the essence of the matter at this stage of the image processing. Two suggestions are proposed and tested: a normalization of gradient magnitude of the pixel by dividing it by a value of the gray level, and development of a nonlinear sequence of thresholds which are used in comparison of adjacent pixels.

Słowa kluczowe

EN

NMR image; image decomposition; grade transform; GCCA

PL

rozkład obrazu; przekształcenia gradowe

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2008
• Tom: Vol. 12
• Strony: 183--187
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Grzegorek M.

• Institute of Computer Science PAS, Ordona 21, 01-237 Warsaw

Bibliografia

• [1] GRZEGOREK M., Homogeneity of pixel neighborhoods in gray level images investigated by the Grade Correspondence Analysis, in: Kurzyński M., Puchała E., Woźniak M., Żołnierek A., Computer Recognition Systems 2, pp 76-83, Springer, series Advances in Soft Computing, Berlin-Heidelberg, 2007.
• [2] GRZEGOREK M., Towards an exploration of GCA ordered pixels, in: Kurzyński M., Puchała E., Woźniak M., Żołnierek A., Computer Recognition Systems 2, pp 156-163, Springer, series Advances in Soft Computing, Berlin-Heidelberg, 2007.
• [3] http://gradestat.ipipan.waw.pl/
• [4] KOWALCZYK T., PLESZCZYŃSKA E., RULAND F., Grade Models and Methods for Data Analysis, With Applications for the Analysis of Data Populations, Series: Studies in Fuzziness and Soft Computing, Vol. 151, Springer Verlag Berlin Heidelberg New York, 2004.
• [5] KSIĄŻYK J., MATYJA O., PLESZCZYŃSKA E., WIECH M., Analiza danych medycznych i demograficznych przy użyciu programu GradeStat. Instytut Podstaw Informatyki Polskiej Akademii Nauk, Instytut “Pomnik – Centrum Zdrowia Dziecka”, Warszawa, 2005.
• [6] PLESZCZYŃSKA E., Application of grade methods to medical data: new examples, Biocybernetics and Biomedical Engineering, Vol. 27, No. 3, pp. 77-93, 2007.