Sentence examples for by image segmentation and from inspiring English sources

The method is based on Markov random field modelling of the projected images and involves a pre-processing of electron micrographs followed by image segmentation and post-processing.

Here, the particle boundary is obtained by image segmentation, and Laplacian interpolation is run to obtain the morphology of the substrate below the particle (see Figure 3d).

In the neutral position (0°), the elbow was scanned at a high dose (150 mAs) for adequate virtual modeling of the bone by image segmentation, and at a low dose (50 mAs) for the remaining states of elbow flexion, to limit the radiation expose.

The video data was collected and analyzed using the methods described in Sections "Parasite identification by image segmentation" and "Parasite tracking".

Cell trajectories were derived by image segmentation and tracking using CellCognition (Held et al., 2010) and visualized as series of single cell images with overlaid segmentation contours and class annotations (Supplementary Fig. S4).

STORM processing, similar to single-molecule tracking algorithms, consists of a frame-by-frame image segmentation and subsequent single-molecule localization using Gaussian fitting [ 22]. Figure 3 illustrates the main steps of our implementation.

The proposed method includes the following steps: (1) Multi-scale region primitives (segments) are obtained by image segmentation method HBC-SEG, and line primitives (straight lines) are obtained by phase-based line detection method.

Each data point is the average value of mRNA/cell determined by automated image segmentation and spot counting (N = 60 cells, error bars are SEM).

In the first step, a land cover map was obtained by image segmentation on the 1954 photographs and the patches classified as "target habitats" were used as a selection mask on the 2002 image.

Spatial and textural variables, created by image segmentation, were classified using the K-Nearest Neighbor (K-NN) algorithm embedded in ENVI EX.

Motion compensation is followed by image segmentation where each MR image has to be segmented into two regions, the region of interest, i.e., the voxels belonging to the tumor, and the background.