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Proceedings Paper

2DE gel image preprocessing using self-organising maps
Author(s): Artūras Serackis; Dalius Matuzevičius; Dalius Navakauskas
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Paper Abstract

Image processing for the comparison and matching of two images is usually based on classical cross-correlation technique. However matching of 2DE gel images requires more sophisticated approach. In this paper the preprocessing of 2DE gel images by self-organising map is proposed in order to improve results of image matching. Proposed technique divides 2DE gel image into regular image segments and extracts a set of segments, suitable for matching of two 2DE gels. The selection of image segments is made by classification accordingly to the statistical features of the image segments taken as the inputs of the self-organising map. Such preprocessing of 2DE gel image reduces number of segments for matching and selects a set of segments with smaller deviation of matching points for jointly used different distance metrics.

Paper Details

Date Published: 15 September 2010
PDF: 6 pages
Proc. SPIE 7745, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010, 77451N (15 September 2010); doi: 10.1117/12.871866
Show Author Affiliations
Artūras Serackis, Vilnius Gediminas Technical Univ. (Lithuania)
Dalius Matuzevičius, Vilnius Gediminas Technical Univ. (Lithuania)
Dalius Navakauskas, Vilnius Gediminas Technical Univ. (Lithuania)


Published in SPIE Proceedings Vol. 7745:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010
Ryszard S. Romaniuk, Editor(s)

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