Automatic Classification from Electropherograms
Abstract
Electropherograms are spectres obtained by electrophoretic
analysis. They are normally infected with a large background noise and a
distortion. The report gives efficient algorithms for determining the
background and distortion. Experiments show that the combined use of these
algorithms leads to reliable identification of different varieties of wheat
from their electropherograms.
Key words: Electrophoretic analysis, Spline functions, Huber estimation,
Matching.
IMM Technical Report 1/95