Appeal No. 95-1217
Application 08/039,674
the motivation for combining the numerical inversion of
Crimmins et al. with Corwin’s automatic
target recognition scheme and Fukumizu’s neural network system
is offered in Crimmins et al., which states that "the
extension of machine vision to industrial or military
operations requiring the detection of a more general classes
of shapes and/or patterns has met with limited results." See
Crimmins et al., col. 1, lines 24-26.
Crimmins et al. discloses a method and apparatus for
automatic shape recognition in an image that is represented by
a matrix of digital data signals. The method disclosed in
Crimmins et al. includes the steps of:
"(a) computing the complement of the first image matrix;
(b) creating a first structuring element,
representative of the shape to be recognized, as a
matrix of digital data signals slightly larger in
dimension than the shape;
(c) creating a second structuring element equal to
the window complement of the first structuring
element;
(d) eroding the first image matrix with the first
structuring element to form a first transformation
matrix;
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