title: Image distance transforms that use optical correlation.
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.
authors.affiliation: Department of Computer Science, College of Staten Island, University of New York, 2800 Victory Boulevard, Staten Island, New York 10314, USA.
authors.forename: S
authors.initials: S
authors.lastname: Zhang
authors.forename: M A
authors.initials: MA
authors.lastname: Karim