Abstract
A novel algorithm for computing the orientation field for a
flowlike texture is presented. The basic idea behind the algorithm is to
use an oriented filter, namely the gradient of the Gaussian, and perform
manipulations on the resulting gradient vector field. The most important
aspect of the algorithm is that it is provably optimal in estimating the
local orientations of an oriented texture. An added strength of the
algorithm is that it is simpler and has a better signal-to-noise ratio
than previous approaches, because it utilizes fewer derivative
operations. Also proposed is a measure of coherence which is based on
the use of the angle and coherence images as intrinsic images. An
analysis of oriented textures requires the computation of these
intrinsic images as a first step. In this sense, the computation of the
orientation field, resulting in the intrinsic images, is indispensable
in the analysis of oriented textures. Results from a number of
experiments indicate the usefulness of the angle and coherence intrinsic
images
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