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Image Local Transforms

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Name	Description / Applications	Modules
BottomHatImage	Performs a morphological black top hat (bottom hat) operation on a image using a predefined kernel.	FoundationLite
BottomHatImage_AnyKernel	Performs a morphological black top hat (bottom hat) operation on a image using an arbitrary kernel.	FoundationLite
BottomHatImage_Mask	Performs a morphological black top hat (bottom hat) operation on a image using a predefined mask.	FoundationLite
CloseImage	Removes small dark structures from an image (or fills in bright ones) by applying consecutive dilation and erosion. E.g. removal of the "pepper" component of salt-and-pepper noise.	FoundationLite
CloseImage_AnyKernel	Removes small dark structures from an image (or fills in bright ones) by applying consecutive dilation and erosion. E.g. removal of the "pepper" component of salt-and-pepper noise.	FoundationLite
CloseImage_Mask	Removes small dark structures from an image (or fills in bright ones) by applying consecutive dilation and erosion. E.g. removal of the "pepper" component of salt-and-pepper noise.	FoundationLite
ConvolveImage	Computes a convolution of the input image with a user-specified mask. Non-standard local transforms defined by the user.	FoundationLite
DifferenceOfGaussians	Applies difference of Gaussians on an image, i.e. computes difference of two Gaussian smoothed images. Emphasizes high-frequency image features such as lines or patches / dots.	FoundationBasic
DilateAndErodeImage	Calculates dilation and erosion simultaneously for faster execution.	FoundationPro
DilateImage	Replaces each pixel with the maximum of pixels within a kernel. Thickens bright features in an images and thins dark ones.	FoundationLite
DilateImage_AnyKernel	Replaces each pixel with the maximum of pixels within an arbitrary kernel.	FoundationPro
DilateImage_Mask	Replaces each pixel with the maximum of pixels within a small rectangular kernel.	FoundationLite
ErodeImage	Replaces each pixel with the minimum of pixels within a kernel. Thins bright features in an image and thickens dark ones.	FoundationLite
ErodeImage_AnyKernel	Replaces each pixel with the minimum of pixels within an arbitrary kernel.	FoundationPro
ErodeImage_Mask	Replaces each pixel with the minimum of pixels within a small rectangular kernel.	FoundationLite
GradientDirAndPresenceImage	Computes an image of gradient directions mapped to the range from 1 to 255. Zero means "no edge". For highly optimized analysis of gradient directions.	FoundationBasic
GradientImage	Computes a gradient image with smoothing operator of any size. The output pixels are signed.	FoundationLite
GradientImage_Mask	Computes a gradient image with a Sobel or Prewitt operator.	FoundationLite
GradientMagnitudeImage	Measures the strength of gradient at each pixel location.	FoundationLite
GradientMagnitudeImage_Signed	Computes an image of gradient for only selected direction. For highly optimized analysis of gradient directions.	FoundationBasic
OpenImage	Removes small bright structures from an image (or fills in dark ones) by applying consecutive erosion and dilation. E.g. removal of the "salt" component of salt-and-pepper noise.	FoundationLite
OpenImage_AnyKernel	Removes small bright structures from an image (or fills in dark ones) by applying consecutive erosion and dilation. E.g. removal of the "salt" component of salt-and-pepper noise.	FoundationLite
OpenImage_Mask	Removes small bright structures from an image (or fills in dark ones) by applying consecutive erosion and dilation. E.g. removal of the "salt" component of salt-and-pepper noise.	FoundationLite
SmoothImage_Bilateral	Smooths an image while preserving sharp edges.	FoundationPro
SmoothImage_Deriche	Smooths an image using Deriche filter. Approximation of the gaussian filter, which can be faster for large kernels.	FoundationLite
SmoothImage_DirAndPresence	Smooths the result of GradientDirAndPresenceImage.	FoundationPro
SmoothImage_Gauss	Smooths an image using a gaussian kernel. Removal of gaussian noise from images.	FoundationLite
SmoothImage_Gauss_Mask	Smooths an image using a predefined gaussian kernel. Removal of gaussian noise from images (fast).	FoundationLite
SmoothImage_Mean	Smooths an image by averaging pixels within a rectangular kernel. Usually used for computing features related to local image "windows". Can be also used for noise removal, but Gauss is superior here.	FoundationLite
SmoothImage_Mean_AnyKernel	Smooths an image by averaging pixels within an arbitrary kernel. Usually used for computing features related to local image "windows" having non-standard shape.	FoundationPro
SmoothImage_Mean_Mask	Smooths an image by averaging pixels within a small rectangular kernel. This is a faster alternative to SmoothImage_Mean when the kernel is very small.	FoundationLite
SmoothImage_Median	Replaces each pixel with the median of pixels within a kernel. Edge-preserving noise removal (but slow).	FoundationLite
SmoothImage_Median_Mask	Replaces each pixel with the median of pixels within a 3x3 rectangular kernel (faster).	FoundationLite
SmoothImage_Middle	Replaces each pixel with the average of maximum and minimum calculated within a kernel. Useful for calculating per-pixel threshold values for image binarization.	FoundationLite
SmoothImage_Quantile	Replaces each pixel with a quantile of pixels within a kernel. Edge-preserving noise removal (but slow).	FoundationLite
SmoothRegion_Mean	Smooths an region by averaging pixels within a rectangular kernel. Usually used for computing features related to local image "windows". Can be also used for noise removal, but Gauss is superior here.	FoundationLite
StandardDeviationImage	Creates image of pixels' local standard deviations.	FoundationBasic
TopHatImage	Performs a morphological white top hat operation on a image using a predefined kernel.	FoundationLite
TopHatImage_AnyKernel	Performs a morphological white top hat operation on a image using an arbitrary kernel.	FoundationLite
TopHatImage_Mask	Performs a morphological white top hat operation on a image using a predefined mask.	FoundationLite