Sentence examples for using the watershed segmentation from inspiring English sources

Figure 6 shows an example of the T-F image of a newborn EEG signal obtained using the MBD and its binary segmented image, obtained using the watershed segmentation; this makes it possible to detect and select the normal/seizure pattern i.e., the region where the normal/seizure pattern appears.

The three body segments are extracted from the obtained binary image using the watershed segmentation algorithm (Roerdink and Meijster 2000).

Axon tracking is initialized with user clicks or automatically using the watershed segmentation algorithm, which identifies axon centers.

This leads to an important reason for using the watershed transform for segmentation as it results in the detection of closed boundary regions.

The segmentation is extended to the whole field by using the watershed method with the segmented nuclei as seeds.

While the mixture of the attachment angles obscures the orientation in the maps, a segmentation analysis using the watershed transform [33] clearly demonstrates that the orientation of the light-chain domains is nucleotide dependent and matches those of the wild-type reconstructions (Figure 1F,G).

Figure 1 shows the process of segmentation of color-based objects in paintings using the watershed algorithm proposed in this paper.

Total biomass was estimated using the Watershed 6 biomass calculator.

It is composed of several steps, the original image will be preprocessed and then used as the input of the watershed segmentation and the rough segmentation is obtained.

For the watershed segmentation, we used the MATLAB function watershed after performing a noise-reduction process (smooth3 in MATLAB).

The watershed segmentation is non-local by nature.