Most grey level thresholding
methods produce good results in situations where the illumination
gradient in the original raster image is regular and not too large.
In other cases, such as a large linear change in illumination, a
satisfactory bi-level image cannot be produced. If the object pixels
can be identified in a variety of positions throughout the image,
these can be used to construct a surface whose height is related to
illumination at each pixel. This estimate can be used to produce a
threshold for each pixel. The method described here uses the
Shen-Castan edge detector to identify object pixels, and creates a
surface using a moving least squares method that can be used to
threshold the image.
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