9.38. ITK H Convex Image Filter

Identify local maxima whose height above the baseline is greater than h.

Group (Subgroup)

ITKMathematicalMorphology (MathematicalMorphology)

Description

HConvexImageFilter extract local maxima that are more than h intensity units above the (local) background. This has the effect of extracting objects that are brighter than background by at least h intensity units.

This filter uses the HMaximaImageFilter .

Geodesic morphology and the H-Convex algorithm is described in Chapter 6 of Pierre Soille’s book “Morphological Image Analysis: Principles and Applications”, Second Edition, Springer, 2003.* GrayscaleGeodesicDilateImageFilter , HMinimaImageFilter

  • MorphologyImageFilter , GrayscaleDilateImageFilter , GrayscaleFunctionDilateImageFilter , BinaryDilateImageFilter

Input Parameter(s)

Parameter Name

Parameter Type

Parameter Notes

Description

Height

Scalar Value

Float64

Set/Get the height that a local maximum must be above the local background (local contrast) in order to survive the processing. Local maxima below this value are replaced with an estimate of the local background.

Fully Connected

Bool

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

Input Cell Data

Parameter Name

Parameter Type

Parameter Notes

Description

Image Geometry

Geometry Selection

Image

Select the Image Geometry Group from the DataStructure.

Input Cell Data

Array Selection

Allowed Types: int8, uint8, int16, uint16, int32, uint32, int64, uint64, float32, float64

The image data that will be processed by this filter.

Output Cell Data

Parameter Name

Parameter Type

Parameter Notes

Description

Output Cell Data

DataObjectName

The result of the processing will be stored in this Data Array inside the same group as the input data.

Example Pipelines

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