Title :
A generalized Gaussian autoregressive model for chest X-ray images
Author :
Zhang, Ya-Qin ; Loew, Murray H. ; Pickholtz, Raymond L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
Abstract :
A generalized Gaussian autoregressive (GGAr) model is proposed, and its properties and limitations are discussed. Some mathematical difficulties were encountered with the model, caused by the fact that the probability density distribution of the prediction error can not be expressed in closed form. Nevertheless, the GGAr model better describes the stochastic characteristics of medical X-ray images and is expected to be useful in image data compression and other applications
Keywords :
diagnostic radiography; modelling; chest X-ray images; generalized Gaussian autoregressive model; image data compression; medical X-ray images; prediction error; probability density distribution; stochastic characteristics; Autoregressive processes; Biomedical imaging; Data compression; Discrete cosine transforms; Gaussian processes; Image restoration; Laplace equations; Speech processing; Stochastic processes; X-ray imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95771
