Watershed-Based Segmentation and Region Merging

By Andre Bleau, L. Leon. Computer Vision and Image Understanding, 2000

335 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Hierarchical, model‐based merging of multiple fragments for improved three‐dimensional segmentation of nuclei (2005, methodology): “Bleau et al. (34) presented a merging method that eliminates tiny and shallow watersheds to achieve better segmentation.”
Digital Topology and Geometry in Medical Imaging: A Survey (2015, background): “and Leon [185] presented a watershed merging algorithm that”
Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy (2006, methodology): “A nuclei-fragment merging method based on the shapes and sizes of nuclei is used to deal with the problem of over-segmentation [1], [8], [11].”
State of the art survey on MRI brain tumor segmentation. (2013, methodology): “To avoid over-segmentation some pre or post processing methods have been proposed in order to produce a more reasonable segmentation that re ﬂ ects the layout of objects [62,63].”
Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy (2006, background): “Digital Object Identifier 10.1109/TCSI.2006.884469 interest in realizing the full potential of time-lapse microscopy in biological research or drug discovery [25], [26].”
A survey of MRI-based brain tumor segmentation methods (2014, methodology): “To avoid over-segmentation and produce a reasonable segmentation, some advanced methods have been proposed [54-56] .”