Shape recognition with a neural classifier based on a fast polygon approximation technique

DA Mitzias, BG Mertzios - Pattern recognition, 1994 - Elsevier
DA Mitzias, BG Mertzios
Pattern recognition, 1994Elsevier
A method is presented for the fast recognition of two-dimensional (2D) binary shapes with
complicated form, like islands on a map or medical images. The proposed method is based
on a new polygon approximation technique, which extracts suitable feature vectors with
specified dimension, which characterizes a given shape. These feature vectors are used as
inputs in an efficient neural based classifier for the fast recognition of the shape. The
proposed technique is characterized by high speed performance, which is desired for real …
A method is presented for the fast recognition of two-dimensional (2D) binary shapes with complicated form, like islands on a map or medical images. The proposed method is based on a new polygon approximation technique, which extracts suitable feature vectors with specified dimension, which characterizes a given shape. These feature vectors are used as inputs in an efficient neural based classifier for the fast recognition of the shape. The proposed technique is characterized by high speed performance, which is desired for real time applications.
Elsevier
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