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ThresholdToRegion_Dynamic

Basic

Module: FoundationBasic

Thresholds an image relatively to the average pixel value in a local rectangular neighborhood.

Applications

Useful in case of uneven illumination.
Name Type Range Description
Input value
 inImage Image Input image
Input value
 inRoi Region* Region in which pixels are written
Input value
 inSourceRoi Region* Region from which pixels are read
Input value
 inRadiusX Integer 0 - 65535 Horizontal radius of internal mean blur
Input value
 inRadiusY Integer* 0 - 65535 Vertical radius of internal mean blur (Auto = inRadiusX)
Input value
 inMinRelativeValue Real* Minimum relative value of a pixel that is considered foreground (Auto = -INF)
Input value
 inMaxRelativeValue Real* Maximum relative value of a pixel that is considered foreground (Auto = +INF)
Input value
 inHysteresis Real 0.0 - Defines how much the threshold criteria are lowered for pixels neighboring with other foreground pixels
Output value
 outRegion Region Output region
Diagnostic input
 diagBaseImage Image Diagnostic blurred image.

Description

The operation is a cousin of ThresholdImage_Dynamic yet computes a region instead of an image. The resulting region contains only those pixels of the input image, which are brighter at least by inMinRelativeValue and at most by inMaxRelativeValue than the local average. If any of the parameters inMinRelativeValue, inMaxRelativeValue is not set, it is assumed to be, accordingly, -infinity or infinity.

Pixel neighbourhood used to compute the local average is a rectangle of dimensions (2 \cdot \text{\textbf{inRadiusX} }+1) \times (2 \cdot \text{\textbf{inRadiusY} }+1) centered at the pixel being processed.

In the multichannel images the operation uses an average of channel values in each pixel.

Hints

  • Define inMinRelativeValue to extract objects which are brighter than the neighborhood.
  • Define inMaxRelativeValue to extract objects which are darker than the neighborhood.
  • Increase inRadiusX (and optionally inRadiusY) to define a bigger neighborhood.

Examples

Description of usage of this filter can be found in examples and tutorial: Capsules, Preparing an OCR model.

ThresholdToRegion_Dynamic performed on the sample image with inMinRelativeValue = 5.0, inMaxRelativeValue = auto.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Region exceeds an input image in ThresholdToRegion_Dynamic.
DomainError Roi exceeds image dimensions in ThresholdToRegion_Dynamic.
DomainError Source roi exceeds image dimensions in ThresholdToRegion_Dynamic.

Complexity Level

This filter is available on Basic Complexity Level.

Filter Group

This filter is member of ThresholdToRegion filter group.

See Also

  • ThresholdImage_Dynamic – Thresholds an image relatively to some value calculated in a local rectangular neighbourhood.