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Computational Imaging and Vision
A major drawback when using the watershed transformation as a segmentation tool comes from the over-segmentation of the image. Over-segmentation is produced by the great number of minima embedded in the image or in its gradient. A powerful technique has been designed to suppress over-segmentation by a primary selection of markers pointing out the regions or objects to be segmented in the image. However, this approach can be used only if we are able to compute the marker set before applying thedoi:10.1007/978-94-011-1040-2_10 dblp:conf/ismm/Beucher94 fatcat:m3n7pljwanattgg7npcpja3dh4