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Minimal region extraction using expanding active contours

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3 Author(s)
Segawa, E. ; Dept. of Syst. Eng., Osaka Univ., Japan ; Xu, G. ; Tsuji, S.

Segmenting images into objects is the first step towards object learning and recognition. The authors take a three-stage approach to this problem: (1) junctions and corners are detected from the image; (2) the minimal regions are extracted by applying an expanding `active snake' model to detect edge contours through junctions and corners, resulting in an image composed of closed regions; and to (3) merge regions that are depth-continuous, and separate regions at the depth discontinuities, using constraints imposed by the junction types. In this paper the second step is described

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992

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