Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
504368 | Computerized Medical Imaging and Graphics | 2010 | 7 Pages |
Abstract
This paper presents a statistical method for the detection of lobar pneumonia when using digitized chest X-ray films. Each region of interest was represented by a vector of wavelet texture measures which is then multiplied by the orthogonal matrix Q2. The first two elements of the transformed vectors were shown to have a bivariate normal distribution. Misclassification probabilities were estimated using probability ellipsoids and discriminant functions. The result of this study recommends the detection of pneumonia by constructing probability ellipsoids or discriminant function using maximum energy and maximum column sum energy texture measures where misclassification probabilities were less than 0.15.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Norliza Mohd. Noor, Omar Mohd. Rijal, Ashari Yunus, S.A.R. Abu-Bakar,