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Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images
Joint Authors
Lahmiri, Salim
Boukadoum, Mounir
Source
Journal of Medical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A new methodology for automatic feature extraction from biomedical images and subsequent classification is presented.
The approach exploits the spatial orientation of high-frequency textural features of the processed image as determined by a two-step process.
First, the two-dimensional discrete wavelet transform (DWT) is applied to obtain the HH high-frequency subband image.
Then, a Gabor filter bank is applied to the latter at different frequencies and spatial orientations to obtain new Gabor-filtered image whose entropy and uniformity are computed.
Finally, the obtained statistics are fed to a support vector machine (SVM) binary classifier.
The approach was validated on mammograms, retina, and brain magnetic resonance (MR) images.
The obtained classification accuracies show better performance in comparison to common approaches that use only the DWT or Gabor filter banks for feature extraction.
American Psychological Association (APA)
Lahmiri, Salim& Boukadoum, Mounir. 2013. Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images. Journal of Medical Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-446703
Modern Language Association (MLA)
Lahmiri, Salim& Boukadoum, Mounir. Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images. Journal of Medical Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-446703
American Medical Association (AMA)
Lahmiri, Salim& Boukadoum, Mounir. Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images. Journal of Medical Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-446703
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-446703