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Structure

Identify objects by utilizing the spatial structure differences at the specified band

Structure segmentation used on cheese to find the holes

Parameters

Band

Specify band number

Median kernel

Select the median kernel size, (ex: 3x3 or 5x5 pixels).

Derivat kernel

Select the derivat kernel size

Threshold

Select the threshold to use for the objects to be included.

Min area

The minimum number of pixels for an object to be included.

Max area

The maximum number of pixels for an object to be included.

If 0 no maximum area is defined.

Object filter

Use an expression to further exclude unwanted objects based on shape.

Properties that can be used for the Expression:

  • Area

  • Length

  • Width

  • Circumference

  • Regularity

  • Roundness

  • Angle

  • D1

  • D2

  • X

  • Y

  • MaxBorderDistance

  • BoundingBoxArea

For details on each available property see: Object properties Details

Shrink

Takes away numbers of pixels at the borders of the objects included in images.

Separate

  • Normal

    • Can have both separated and combined objects.

  • Separate adjacent objects

    • All objects are defined separately.

  • Merge all objects into one

    • All objects are defined as one.

  • Merge all objects per row

    • All objects per row segmentation are defined as one.

  • Merge all objects per column

    • All objects per column segmentation are defined as one.

Only visible when applicable

Link output objects from two or more segmentations to top segmentation. Descriptors can then be added to the common object output and will be calculated for objects from all segmentations.

Descriptors after object will be calculated for all three segmentations (Sample1, Sample2 and Sample3)

The segmentations must be at same level to be available for linking.

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