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Proceedings Paper

Distortion correction and automatic comparison of electrophoresis images
Author(s): Qiaofei Wang; Yrjo A. Neuvo
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Paper Abstract

Image segmentation is essential to computer-based analysis of two-dimensional electrophoresis gels. In order to detect protein spots, we use nonlinear algorithms such as median and FIR- median hybrid filters to estimate the varying background. It is shown that the detection technique provides simple implementation and effective spot detection. Since there exists nonlinear distortion in a gel image which prevents us from making a correct matching, we use template matching to estimate the horizontal and vertical distortion and propose nonlinear interpolation and decimation to correct it. Practically, isolated small parts of the gel image are selected as windows (templates) which contain certain spot distribution patterns, and the sum of absolute differences is used as the measure of similarity. For convenience of a visual comparison, two gel images are displayed in different colors (or gray levels) and superimposed on the screen. The global patterns of the two images are matched depending on how well the distortion correction has been done.

Paper Details

Date Published: 26 June 1992
PDF: 12 pages
Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); doi: 10.1117/12.59584
Show Author Affiliations
Qiaofei Wang, Tampere Univ. of Technology (Finland)
Yrjo A. Neuvo, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 1660:
Biomedical Image Processing and Three-Dimensional Microscopy
Raj S. Acharya; Carol J. Cogswell; Dmitry B. Goldgof, Editor(s)

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