Only meaningfull when IntermediateImageComputationPolicy is UseCarePelsMinFraction. Zero has a special meaning: it means "accept any non-zero fraction, no matter how small."

If nonzero, indicates that the raising of the Changed event has been suspended. This value is incremented when SuspendChangedEvent is called and decremented when ResumeAndRaiseChangedEvent is called.

Whether this one image operator will be used to compute the output image.

If true, the serializable state of this object has changed since the last time it was serialized.

Mask indicating areas of Care (mask value 255) and Don't Care (mask value zero). The mask is aligned to the InputImage using the InputImageMaskOffsetX & Y values.

X offset value in pixels. The X & Y offset values measure the offset from the upper-left corner of the InputImage to the upper-left corner of the InputImageMask, in pixel coordinates of the InputImage.

Y offset value in pixels. The X & Y offset values measure the offset from the upper-left corner of the InputImage to the upper-left corner of the InputImageMask, in pixel coordinates of the InputImage.

How to use the kernel and the InputImageMask to determine whether to compute a pixel value or copy from the InputImage.

Mask indicating areas of Care (mask value 255) and Don't Care (mask value zero). The mask is aligned to the intermediate image using the IntermediateImageMaskOffsetX & Y values.

X offset value in pixels. The X & Y offset values measure the offset from the upper-left corner of the intermediate image to the upper-left corner of the IntermediateImageMask, in pixel coordinates of the intermediate image.

Y offset value in pixels. The X & Y offset values measure the offset from the upper-left corner of the intermediate image to the upper-left corner of the IntermediateImageMask, in pixel coordinates of the intermediate image.

Decides whether to use the IntermediateImageMask, or use the InputImageMask as the IntermediateImageMask.

Bitwise shifts the pixel values of the result. Valid shift values are from -7 to 7. Negative values will darken the result by dividing the pixel value results by 2 for each bit specified. Similarly, positive values will brighten by multiplying by 2.

Returns/sets a displayable operator name.

The pixel depth of the image to generate by the Gaussian operation.

This is the computed mask that helps us figure out which output pixels were computed and which were copied from InputImage.

Whether the operator should output just an image, or an image plus a computed image mask.

Subsampling rate in the X direction that reduces the image width, dividing by the specified value. Sampling is performed after the Gaussian filter is applied. In general, SampleX should be less than SmoothnessX.

Subsampling rate in the Y direction that reduces the image height, dividing by the specified value. Sampling is performed after the Gaussian filter is applied. In general, SampleY should be less than SmoothnessY.

Returns the standard deviation of the Gaussian curve along the X axis.

Returns the standard deviation of the Gaussian curve along the Y axis.

Smoothness in the X direction. The smoothness value determines the sigma of the Gaussian curve and in turn the size of the Gaussian kernel. For speed efficiency, it is recommended that the smoothness not exceed 24 for CogImage8Grey or CogImage24PlanarColor, and not exceed 39 for CogImage16Grey.

Smoothness in the Y direction. The smoothness value determines the sigma of the Gaussian curve and in turn the size of the Gaussian kernel. For speed efficiency, it is recommended that the smoothness not exceed 24 for CogImage8Grey or CogImage24PlanarColor, and not exceed 39 for CogImage16Grey.