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Applies difference of Gaussians on an image, i.e. computes difference of two Gaussian smoothed images.
Namespace: | Fil |
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Assembly: | FilNet.dll |
Syntax
C++
C#
public static void DifferenceOfGaussians ( Fil.Image inImage, Optional<Fil.Region> inRoi, float inStdDev, float inStdDevRatio, float inKernelRelativeSize, float inScale, Fil.Image outImage, Diagnostic<Fil.Profile> diagKernelShape )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
![]() | inImage | Fil.Image | Input image. | ||
![]() | inRoi | Ftl.Optional<Fil.Region> | Range of output pixels to be computed. Default value: ftl::NIL. | ||
![]() | inStdDev | float | <0.0f, INF> | 3.0f | Smoothing standard deviation for the smaller kernel. Default value: 3.0f. |
![]() | inStdDevRatio | float | <1.0f, INF> | 1.6f | Defines how many times larger is the second kernel. Default value: 1.6f. |
![]() | inKernelRelativeSize | float | <0.0f, 3.0f> | 3.0f | A multiple of the standard deviation determining the size of the kernel. Default value: 3.0f. |
![]() | inScale | float | 1.0f | Output image scaling factor. Default value: 1.0f. | |
![]() | outImage | Fil.Image | Output image. | ||
![]() | diagKernelShape | Fil.Diagnostic<Fil.Profile> | Middle row of the kernel being used. |