Microarray image enhancement techniques using the discrete wavelet transform

dc.contributor.author	Αθανασιάδης, Εμμανουήλ Ι.	el
dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Δασκαλάκης, Αντώνης	el
dc.contributor.author	Μπουγιούκος, Παναγιώτης	el
dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.date.accessioned	2015-05-14T15:08:47Z
dc.date.available	2015-05-14T15:08:47Z
dc.date.issued	2015-05-14
dc.identifier.uri	http://hdl.handle.net/11400/10372
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.bme.teiath.gr/medisp/pdfs/ATHANASSIADIS_2006_SCCE_Microarray%20Image%20Enhancement.pdf	en
dc.subject	Microarray
dc.subject	Wavelets (Mathematics)
dc.subject	Μικροσυστοιχίες
dc.subject	Κυμάτιο
dc.title	Microarray image enhancement techniques using the discrete wavelet transform	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Computer science
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://data.seab.gr/concepts/77de68daecd823babbb58edb1c8e14d7106e83bb
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh91006163
heal.contributorName	Θεοχαράκης, Παντελής	el
heal.contributorName	Σπυρίδωνος, Παναγιώτα Π.	el
heal.contributorName	Καλατζής, Ιωάννης	el
heal.contributorName	Νικηφορίδης, Γεώργιος Σ.	el
heal.contributorName	Κάβουρας, Διονύσης Α.	el
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2006
heal.bibliographicCitation	Athanasiadis, E., Glotsos, D., Daskalakis, A., Bougioukos, P., Kostopoulos, S., et al. (2006). Microarray image enhancement techniques using the discrete wavelet transform. In the 2nd International Conference "From Scientific Computing to Computational Engineering" (2nd IC-SCCE 2006). Athens, 5th – 8th July, 2006. Available from: http://www.bme.teiath.gr/medisp/pdfs/ATHANASSIADIS_2006_SCCE_Microarray%20Image%20Enhancement.pdf	en
heal.abstract	The objective of this work was to perform a comparative evaluation of five different wavelet-based filtering techniques in the task of microarray image denoising and enhancement. Clinical material comprised microarray images collected from the Oak Ridge National Laboratory. Image processing was performed in two stages: In the first stage an Exponential Histogram Equalization filter was applied in order to increase the contrast between spots and surrounding background. In the second stage, five wavelet-based image filters (Simple Piece-Wise Linear Mapping Filter (SPWLMF), Hard Threshold filter (HTF), Wavelet Enhancement with Noise Suppression filter (WEWNSF), Garrote Wavelet Threshold filter (GWTF) and Sigmoidal Non-linear Enhancement filter (SNLEF)) were implemented for denoising and enhancing gene microarray spots. The enhancing effectiveness of the five filters was assessed by calculating the Mean-Square-Error (MSE) and the Signal-to-MSE ratio. Results showed that the image quality of the processed images was superior to that of the original images. Significant noise suppression was accomplished by the SPWLMP filter, which scored the minimum MSE and the maximum Signal-to-MSE ratio. Processing time was less than 3 seconds for 512x512 sample images. Wavelet-based processing of microarray images was found to enhance microarray images effectively, by improving the visualization of spots and by suppressing image noise.	en
heal.fullTextAvailability	true
heal.conferenceName	International Conference "From Scientific Computing to Computational Engineering"	en
heal.conferenceItemType	full paper