A class of scientific images, which we will call blot images, contains
information in the form of relationships between grey level pixels. One
way to extract this information is to fit model functions to the objects
in the image. We have explored the use of a Moffat function as a data
model, and use a genetic algorithm to fit many instances of this function
to the data in the image. The example of stellar photometry is used,
a natural application for the Moffat function.
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