An application of heuristic search methods to edge and contour detection
Communications of the ACM
On the optimal detection of curves in noisy pictures
Communications of the ACM
Finite State Markovian Decision Processes
Finite State Markovian Decision Processes
Dynamic Programming
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The contours of isolated objects in noisy images may be detected with a minimal cost contour detection algorithm. An algorithm that is based on the policy-iteration method for locating the closed minimal cost path is introduced. Computational results indicate that it is computationally more efficient than the dynamic programming approach. The method is applied to left ventricular contours in scintigraphic images, although it is applicable to any domain where a closed minimal cost path is to be computed in a matrix of cost coefficients.