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Susceptibility of texture measures to noise: an application to lung tumor CT images
conference contribution
posted on 2023-06-08, 10:42 authored by Omar S Al-Kadi, D WatsonFive different texture methods are used to investigate their susceptibility to subtle noise occurring in lung tumor Computed Tomography (CT) images caused by acquisition and reconstruction deficiencies. Noise of Gaussian and Rayleigh distributions with varying mean and variance was encountered in the analyzed CT images. Fisher and Bhattacharyya distance measures were used to differentiate between an original extracted lung tumor region of interest (ROI) with a filtered and noisy reconstructed versions. Through examining the texture characteristics of the lung tumor areas by five different texture measures, it was determined that the autocovariance measure was least affected and the gray level co-occurrence matrix was the most affected by noise. Depending on the selected ROI size, it was concluded that the number of extracted features from each texture measure increases susceptibility to noise.
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of the 2008 8th IEEE International Conference on BioInformatics and BioEngineering; Athens, Greece; 8-10 October 2008Publisher
IEEEExternal DOI
Page range
1-14Pages
4.0Event name
8th IEEE International Conference on BioInformatics and BioEngineering, 8-10 Oct 2008Event location
Athens, GreeceEvent type
conferenceEvent date
8-10 October 2008ISBN
9781424428441Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-21First Open Access (FOA) Date
2018-03-23First Compliant Deposit (FCD) Date
2018-03-23Usage metrics
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