Abstract
The image distance transform is a time-consuming global
operation. We use optical correlation for the fast computation of
binary image distance transforms. A joint transform correlator is
proposed to implement the algorithm that accommodates the morphological
threshold-decomposition concept. The proposed optical processor is
programmable for computing Euclidean, city-block, and chessboard
distance transforms in real time. Skeletonization by use of the
distance transform and the rotation invariance of the Euclidean
distance transform are demonstrated.
© 2000 Optical Society of America
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