Object delineation in noisy images by a modified policy-iteration method

Author

Dumay, Adrie C M ; Claessens, Marielle N A J ; Roos, Cees ; Gerbrands, Jan J. ; Reiber, Johan H C

Author_Institution

Dept. of Diagnostic Radiol., Leiden Univ. Hospital, Netherlands

Volume

14

Issue

9

fYear

1992

fDate

9/1/1992 12:00:00 AM

Firstpage

952

Lastpage

958

Abstract

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

Keywords

iterative methods; optimisation; pattern recognition; picture processing; closed minimal cost path; cost coefficient matrix; noisy images; object delineation; pattern recognition; picture processing; policy-iteration method; scintigraphic images; Cost function; Detection algorithms; Detectors; Digital images; Dynamic programming; Estimation theory; Image analysis; Object detection; Robot vision systems; State-space methods;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.161354

Filename

161354