Title :
On modeling the distribution of chest X-ray images and their stochastic properties
Author :
Zhang, Ya-Qin ; Loew, Munay H. ; Pickholtz, Raymond L.
Author_Institution :
Contel Technol. Center, Chantilly, VA, USA
Abstract :
The probabilistic distribution properties of a set of medical images are studied. It is shown that the generalized Gaussian function provides a good approximation to the distribution of antero-posterior chest radiographs. Based on this result and a goodness-of-fit test. a generalized Gaussian autoregressive model (GGAR) is proposed. Its properties and limitations are discussed. It is expected that the GGAR model will be useful in describing the stochastic characteristics of some classes of medical images and can be used in image data compression and other applications
Keywords :
X-ray applications; computerised pattern recognition; computerised picture processing; diagnostic radiography; stochastic processes; antero-posterior chest radiographs; chest X-ray images; generalized Gaussian autoregressive model; image data compression; image distribution; medical images; probabilistic distribution properties; stochastic properties; Biomedical imaging; Data compression; Drives; Entropy; Histograms; Laplace equations; Medical tests; Stochastic processes; Testing; X-ray imaging;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.119357
