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<p>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.</p>
object delineation; picture processing; cost coefficient matrix; pattern recognition; noisy images; policy-iteration method; closed minimal cost path; scintigraphic images; iterative methods; optimisation; pattern recognition; picture processing

J. Reiber, M. Claessens, J. Gerbrands, A. Dumay and C. Roos, "Object Delineation in Noisy Images by a Modified Policy-Iteration Method," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 14, no. , pp. 952-958, 1992.
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