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2DE gel image preprocessing using self-organising maps

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.