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ThresholdImage

Basic

Module: FoundationLite

Transforms each pixel value to maximum or minimum depending on whether they belong to the specified range.

Applications

Image binarization when the illumination is constant and uniform.
Name Type Range Description
Input value
 inImage Image Input image
Input value
 inRoi Region* Region of interest
Input value
 inMinValue Real* Minimum value of a pixel that is considered foreground (Auto = -INF)
Input value
 inMaxValue Real* Maximum value of a pixel that is considered foreground (Auto = +INF)
Input value
 inFuzziness Real 0.0 - A tolerance for inMin/MaxValue that results in intermediate output values
Output value
 outMonoImage Image

Description

The operation transforms each pixel value to the maximum or minimum level thus creating binary image. The result of the transformation depends on the pixel intensity:

  • Pixel values in range (inMinValue, inMaxValue) are transformed to the maximum level.
  • Other pixel values are transformed to the minimum level.

If any of the parameters inMinValue, inMaxValue is not set, it is assumed to be, accordingly, -infinity or infinity.

Parameter inFuzziness (set to 0 by default) allows to perform fuzzy thresholding which linearly interpolates those pixel values that differ by at most inFuzziness from the values inMinValue, inMaxValue; thus creating smooth transition between minimum and maximum values in the resulting image (see Remarks section).

In the multichannel images the operation uses an average of channel values in each pixel, thus the resulting image is always monochromatic.

Hints

  • Define inMinValue to obtain white pixels for bright objects (brighter than the specified value).
  • Define inMaxValue to obtain white pixels for dark objects (darker than the specified value).
  • Use inFuzziness to add some smooth transitions between black and white pixels in the result.

Examples

Description of usage of this filter can be found in examples and tutorial: HMI Start Stop, Basic macrofilter example.

ThresholdImage performed on the sample image with inMinValue = 80.0, inMaxValue = auto, inFuzziness = 0.0.

ThresholdImage performed on the sample image with inMinValue = 80.0, inMaxValue = auto, inFuzziness = 2.5.

Remarks

When image pixel type is Real, parameter inFuzziness has no influence on the output (is ignored). The reason is strictly mathematical. Namely, there does not exist a smooth transition between -infinity and +infinity values, which are, correspondingly, minimum and maximum levels of pixel brightness.

Hardware Acceleration

This operation is optimized for SSE2 technology for pixels of types: 1xUINT8 (for inFuzziness = 0), 3xUINT8 (for inFuzziness = 0).

This operation is optimized for AVX2 technology for pixels of types: 1xUINT8 (for inFuzziness = 0), 3xUINT8 (for inFuzziness = 0).

This operation is optimized for NEON technology for pixels of types: 1xUINT8 (for inFuzziness = 0), 3xUINT8 (for inFuzziness = 0).

This operation supports automatic parallelization for multicore and multiprocessor systems.

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 ThresholdImage.

Complexity Level

This filter is available on Basic Complexity Level.

Filter Group

This filter is member of ThresholdImage filter group.

See Also

  • ThresholdToRegion – Creates a region containing image pixels with values within the specified range.