Segmentation

../_images/seg_pn.png

Screenshot of GRID performing segmentation

Dynamic

../_images/seg_grid.png

GRID infers plot boundaries based on the POI distribution. The only tunable parameter Grid Coef. is how much weight should be put on the global layout over local pattern. For example, when the boundary between two adjacent plots are ambiguous, Grid Coef. = 0.0 would encourge plot with more connected POI to agressively expand its border. Whereas Grid Coef. = 1.0 would let both of their borders to follow the pattern from other rows/columes.

Fixed

../_images/seg_fix.png

If the option Fixed is checked, plots will be assigned boundaries with an equal size. The size of units is obtained from:

\[\text{1 unit} = \frac{\text{Image size}}{\text{Number of plots}} * \frac{1}{100}\]

For example, if an input image is 1,000 pixels wide, and there’re 10 columns of plots. 1 unit then become 1 pixel wide. In this case, assigning 50 units width to the plots meaning each plot would has 5 pixel wide boundary. And when width = 100 units, plot boundaries should horizontally occupy the entire image.

Fine-tune results


GRID provides several ways to fine-tune the segmentation results:

  • Move centroids

    Left-click and drag within the plots to move the centroids

  • Resize borders

    Left-click and drag at the inner side of the border to resize it.

  • Row positions

    Left-click and drag at any row of plots to move the entire row.

  • Column positions

    Left-click and drag at any column of plots to move the entire column.

Export results

../_images/seg_out.png
  • Prefix

    GRID will create a folder for placing the outputs. The name of this folder is the specified Prefix, and all the output filenames will start wtth the Prefix.

  • Output path

    A path where you want the outputs to be saved

  • Simple output

    By checking this option, only basic results will be saved. There’s further discussion in this section <Outputs>