Mohd. Rijal, Omar and Ebrahimian, Hossien and Mohd. Noor, Norliza (2012) Determining features for discriminating PTB and normal lungs using phase congruency model. In: Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics, BHI 2012. IEEE, New York, USA, pp. 341-344. ISBN 978-145772177-9
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Official URL: http://dx.doi.org/10.1109/BHI.2012.6211583
Abstract
The appearance of the infected zone on the digital chest X-ray image for pulmonary tuberculosis (PTB) does not conform to standard shape, size or configuration. This study uses phase congruency (PC(x)) values to gather information from transition of adjacent pixel values that may be used as features to represent known disease type. The feature vector consisting of the average, variance, coefficient of variation and maximum PC(x)-values was found to be able to detect PTB with high accuracy.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | adjacent pixels, chest x-ray image, coefficient of variation, feature vectors, phase congruency, pulmonary tuberculosis |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Razak School of Engineering and Advanced Technology |
| ID Code: | 34713 |
| Deposited By: | INVALID USER |
| Deposited On: | 30 Oct 2013 03:17 |
| Last Modified: | 02 Feb 2017 05:57 |
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