Image to Labeling

Converts images in a column (or a set of columns) to segmentations.

Options

Use background value as background?

If true, no labels will be set for pixels with the value specified in "Background value"

Background value

The value of the pixels which will be regarded as background. Hence, no label will be assigned to them.

Labeling Settings

Labels from ...

Optional column to specify the labels from where the labels of the new labeling (segmentation) should be taken. The main use case is in conjunction with the 'Labeling to Image'-node. With its help a labeling can be converted into an image in order to apply some transformation on it (e.g. resizing). By converting it back to a labeling this option helps to restore the original labels.

Column Selection

Column Creation Mode

Mode how to handle the selected column. The processed column can be added to a new table, appended to the end of the table, or the old column can be replaced by the new result

Column Suffix

A suffix appended to the column name. If "Append" is not selected, it can be left empty.

Column Selection

Selection of the columns to be processed.

Views

Image Viewer

Another, possibly interactive, view on table cells. Displays the selected cells with their associated viewer if it exists. Available views are:
- XML
-- XML tree
- Missing Value Viewer
-- An empty viewer that is shown when the input cell has no value to display.
- BigDataViewer
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
- Image Viewer
-- This viewer renders the selected image-cell.
- Histogram Viewer
-- This viewer shows the histogram of the currently selected image.
- Combined View
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
- Labeling View
-- View on a labeling/segmentation

Workflows

• 03_Tensorflow2_CellSegmentationKNIME Hub
• 03. TrainKNIME Hub
• 03. Train ModelKNIME Hub
• 03. Train ModelKNIME Hub
• 03. Train ModelKNIME Hub
• Show all 44 workflows

Links

• No links available

Developers