Please use this identifier to cite or link to this item:
Title: Microarray image enhancement techniques using the discrete wavelet transform
Authors: Αθανασιάδης, Εμμανουήλ Ι.
Γκλώτσος, Δημήτριος
Δασκαλάκης, Αντώνης
Μπουγιούκος, Παναγιώτης
Κωστόπουλος, Σπυρίδων
Contributors: Θεοχαράκης, Παντελής
Σπυρίδωνος, Παναγιώτα Π.
Καλατζής, Ιωάννης
Νικηφορίδης, Γεώργιος Σ.
Κάβουρας, Διονύσης Α.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Microarray;Wavelets (Mathematics);Μικροσυστοιχίες;Κυμάτιο
Subjects: Technology
Computer science
Issue Date: 14-May-2015
Date of availability: 14-May-2015
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.
Language: English
Citation: 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:
Conference: International Conference "From Scientific Computing to Computational Engineering"
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
Appears in Collections:Δημοσιεύσεις

Files in This Item:
File Description SizeFormat 
Microarray Image Enhancement Techniques Using the Discrete Wavelet Transform.pdf396.7 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons