Abstract
Watershed transformation is introduced as a computation in image graph of a path forest with minimal modified topographic distance in (ℝ + )2. Two algorithms are presented for image segmentation that use a metric defined by a unit neighborhood as well as a chamfer (a,b)-metric. The algorithms use ordered queues to propagate over image pixels simulating the process of flooding. Presented algorithms can be applied to gray-scale images where objects have noticeable boundaries.
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Goncharenko, V., Tuzikov, A. (2006). Watershed Segmentation with Chamfer Metric. In: Kuba, A., Nyúl, L.G., Palágyi, K. (eds) Discrete Geometry for Computer Imagery. DGCI 2006. Lecture Notes in Computer Science, vol 4245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11907350_44
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DOI: https://doi.org/10.1007/11907350_44
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