Sentence examples for segmentation metrics from inspiring English sources

The solution would be to choose a topology which is fairly efficient in terms of segmentation metrics and does not take much time to train.

Comparison results between Li's method and our method using these metrics are shown in Table 5 and Fig. 8. Fig. 8 Comparison of errors in different contours Table 5 Comparison of segmentation metrics Metrics Li's method [22] Our method m 1 1.64 0.62 m 2 29%97%%.

The testing scheme (1) employs MRS to partition each LSP exhaustively into 200 coarser scales of terrain segments by increasing the scale parameter (SP), (2) identifies the spatially best matching terrain segment for each reference drumlin, and (3) computes four segmentation accuracy metrics for quantifying the overall spatial match between drumlin segments and reference drumlins.

Similar to the validation of image segmentation techniques, distance metrics are an essential means to validate model-based visualization techniques.

We employed segmentation and landscape metrics (edge density and image texture respectively), derived from a pan-European multi-temporal and multi-spectral remote sensing dataset, to generate a consistent European indicator of farmland heterogeneity, the Farmland Heterogeneity Indicator (FHI).

We introduce two metrics to segmentation assessment.

Clearly, the similarity metrics of segmentation is less than the skull stripped.

It can be accompanied with other segmentation passes applying other metrics, but in all the cases the BIC is present at some point.

Finally, Google is going to be making a significant upgrade to its Analytics API, which launched in public beta earlier this year, to include advanced segmentation and new data metrics features that were announced in October.

Three known clinical prognostic factors (age, radiological stage and treatment) remained in each derived model, but there was a difference in the inclusion of texture metrics by segmentation technique.

From a large number of papers retrieved, 10 detailed segmentation techniques and the evaluation metrics used in the testing stage.