Segmentation Watershed

Hauwert, N. M, Johns, D. A., Aley, T. J., and Sansom, J. W., in press. Groundwater Tracing Study of the Barton Springs Segment of the Edwards Aquifer, Southern Travis and Northern Hays Counties, Texas, Barton Springs/Edwards Aquifer Conservation District and the City of Austin Watershed Protection Department. 

Watershed transformation Image patch No Low It was not selected because this segmentation method generally leads to over-segmentation due to noise and loeal irregularities of the gradient. 

Watershed segmentation (Digabel and Lantuejoul 1978) is also a region-based method. The analogy for... 

Huang YL, Chen DR (2004) Watershed segmentation for breast tumor in 2-D sonography. Ultrasound Med Biol... 

Figure 24.18 2D example of pore definition based on a watershed segmentation (a) binary image of porous structure ... 

My initial use of CPM was on the first watershed planning project 1 had ever managed. The CPM, or more specifically, creating the network forced me to think through the project before starting the project. My first use of the CPM was without the benefit of software—very tedious. Parallel CP segments occurred during the first use which initially caused me to think I had erred. 

Tarabalka, Y., Chanussot, J., and Benediktsson, J.A. (2010) Segmentation and classification of hyperspectral images using watershed transformation. Pattern Recognit., 43 (7), 2 67-23,79. 

Videla A, lin CL, Miller JD (2006) Watershed functions applied to a 3D image segmentation problem for the analysis of packed particle beds. Part Syst Charact 23(3-4) 237... 

Turker M, Sumer E (2008) Building-based damage detection due to earthquake using the watershed segmentation of the post-event aerial images. Int J Remote Sens 29(ll) 3073-3089... 

The basic volume primitives are produced by applying the watershed transform directly to the seismic data (Figure 18, top), producing a very detailed segmentation. 

Real-time interaction is achieved by keeping the indexes of the original watershed segmentation and traversing the hierarchy every time a selection is made, or further subdivision is required. This is really fast, since we only need to traverse at most log2(A ) levels for a tree with N leaf nodes. For 1,000,000 objects this only amounts to twenty levels for a balanced tree ... 

H. K. Hahn and H.-O. Peitgen (2003) IWT - Interactive Watershed Transform a hierarchical method for efficient interactive and automated segmentation of multidimensional grayscale images. Proceedings of Medical Imaging, SPIE. 

J. Sijbers, P. Scheunders, M. Verhoye, A. Van der Linden, D. Van Dyck, and E. Raman (1997) Watershed-based segmentation of 3D MR data for volume quantization. Magnetic Resonance Imaging 15(4). 

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