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Proceedings Paper

Automatic registration and segmentation algorithm for multiple electrophoresis images
Author(s): Matthew S. Baker; Harald Busse; Martin Vogt
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Paper Abstract

We present an algorithm for registering, segmenting and quantifying multiple scanned electrophoresis images. (2D gel) Electrophoresis is a technique for separating proteins or other macromolecules in organic material according to net charge and molecular mass and results in scanned grayscale images with dark spots against a light background marking the presence of such macromolecules. The algorithm begins by registering each of the images using a non-rigid registration algorithm. The registered images are then jointly segmented using a Markov random field approach to obtain a single segmentation. By using multiple images, the effect of noise is greatly reduced. We demonstrate the algorithm on several sets of real data.

Paper Details

Date Published: 6 June 2000
PDF: 11 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387705
Show Author Affiliations
Matthew S. Baker, GMD--German National Research Ctr. for Information Technology (Germany)
Harald Busse, GMD--German National Research Ctr. for Information Technology (Germany)
Martin Vogt, GMD--German National Research Ctr. for Information Technology (Germany)

Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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