Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/10401
Title: An efficient clahe-based, spot-adaptive, image segmentation technique for improving microarray genes' quantification
Authors: Δασκαλάκης, Αντώνης
Κάβουρας, Διονύσης Α.
Μπουγιούκος, Παναγιώτης
Κωστόπουλος, Σπυρίδων
Γεωργιάδης, Παντελής
Contributors: Καλατζής, Ιωάννης
Νικηφορίδης, Γεώργιος Σ.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Microarrays;Segmentation;Μικροσυστοιχίες;Κατάτμηση
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 14-May-2015
2007
Date of availability: 14-May-2015
Abstract: An efficient spot-adaptive segmentation technique was developed by suitable combining in a cascade mode the benefits of image enhancement (Contrast Limited Adaptive Histogram Equalization technique (CLAHE)) and image segmentation (Seeded Region Growing technique (SRG)) in order to improve genes’ quantification in microarray images. Microarrays utilized for evaluation purposes comprised 7 publicly available images. Initially, an image griding algorithm was employed to divide the image into rectangular image-cells. Subsequently, CLAHE was applied on each individual image-cell, initial SRG-seed was set at the image-cell’s center, and SRG-threshold was estimated from the image-cell’s background. The spot’s boundary was referred to the corresponding cell spot in the original image and the spot’s intensity was evaluated. Extracted intensities were comparatively evaluated against a well-established commercial software package (MAGIC TOOL) employing the Jeffrey’s divergence-metric. The metric of the spot-adaptive segmentation technique was about double as compared to MAGIC TOOL’s metric, with differences ranging between 1.23 and 5.21 in the processed images. Regarding processing time, the proposed method required half the time of MAGIC TOOL’s (211 secs against 487 secs) to process the same cDNA image on the same computer.
Language: English
Citation: Daskalakis, A., Cavouras, D., Bougioukos, P., Kostopoulos, S., Georgiadis, P., et al. (2007). An efficient clahe-based, spot-adaptive, image segmentation technique for improving microarray genes' quantification. In the 2nd International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization (2nd IC-EpsMso). Greece, Athens, 4th-7th July 2007. Available from: http://www.bme.teiath.gr/medisp/pdfs/DASKALAKIS_2007_EpsMsO_An%20Efficient%20CLAHE.pdf
Conference: International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/10401
Appears in Collections:Δημοσιεύσεις



This item is licensed under a Creative Commons License Creative Commons