Method of bridging between contour elements in an image

Image analysis – Histogram processing – For setting a threshold

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382 22, 358 96, G06F 1570, A61B 104, G06K 948

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active

048436305

ABSTRACT:
A method is provided for bridging between disjointed contour elements in an image by searching for an optimum bridging path between the facing ends of disjointed contour elements in the image. The method of the steps of defining a search window between each of the facing ends of the disjointed controur elements, considering in the window the different image points as nodes on a graph, determining an elementary cost associated with each path connecting each node to its neighboring nodes from amplitude and/or orientation data of the luminance function used for detecting the contours and in determining the optimum path by following, from the costs obtained, a line for which the luminance gradient of the detected points appears to be a maximum.

REFERENCES:
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Grattoni, P. et al., "Contour Detection of the Left Ventricular Cavity from Angiographic Images", IEEE Transactions on Medical Imaging, vol. MI-4, No. 2 Jun. 1985, pp. 72-78, esp. pp. 73-75, paragraph Heuristic boundary Follower.
Persoon, E. "A New Edge Detection Algorithm and its Applications in Picture Processing", Computer Graphics and Image Processing, vol. 5, No. 4, Dec. 1976, 425-446.
Ashkar, G. P. et al., "The Contour Extraction Problem with Biomedical Applications", IEEE Proceedings of the Conference on Pattern Recognition and Image Processing Jun. 6-8, 1977, New York, pp. 216-224.
Juvin, D. et al., "Anima (Analysis of Images)-A Quasi Real Time System", Proceedings of the IEEE Computer Society Conference Pattern Recognition and Image Processing, Jun. 14-17, 1982, Las Vegas, Nevada, pp. 358-361.

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