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Image Local Transforms

Select a function from the list below.

Icon	Name	Description	Library
	CloseImage	E.g. removal of the "pepper" component of salt-and-pepper noise.	Lite
	ConvolveImage	Non-standard local transforms defined by the user.	Lite
	DifferenceOfGaussians	Emphasizes high-frequency image features such as lines or patches / dots.	Professional
	DilateAndErodeImage	Calculates dilation and erosion simultaneously for faster execution.	Professional
	DilateImage	Replaces each pixel with the maximum of pixels within a kernel.	Lite
	DilateImage_AnyKernel	Replaces each pixel with the maximum of pixels within an arbitrary kernel.	Professional
	DilateImage_Mask	Replaces each pixel with the maximum of pixels within a small rectangular kernel.	Lite
	ErodeImage	Replaces each pixel with the minimum of pixels within a kernel.	Lite
	ErodeImage_AnyKernel	Replaces each pixel with the minimum of pixels within an arbitrary kernel.	Professional
	ErodeImage_Mask	Replaces each pixel with the minimum of pixels within a small rectangular kernel.	Lite
	GradientDirAndPresenceImage	For highly optimized analysis of gradient directions.	Professional
	GradientImage	Computes a gradient image with smoothing operator of any size. The output pixels are signed.	Professional
	GradientImage_Mask	Computes a gradient image with a Sobel or Prewitt operator.	Professional
	GradientMagnitudeImage	Measures the strength of gradient at each pixel location with Sobel or Prewitt operator.	Lite
	OpenImage	E.g. removal of the "salt" component of salt-and-pepper noise.	Lite
	SmoothImage_Deriche	Approximation of the gaussian filter, which can be faster for large kernels.	Professional
	SmoothImage_Gauss	Removal of gaussian noise from images.	Lite
	SmoothImage_Gauss_Mask	Removal of gaussian noise from images (fast).	Lite
	SmoothImage_Mean	Usually used for computing features related to local image "windows". Can be also used for noise removal, but Gauss is superior here.	Lite
	SmoothImage_Mean_AnyKernel	Usually used for computing features related to local image "windows" having non-standard shape.	Professional
	SmoothImage_Mean_Mask	This is a faster alternative to SmoothImage_Mean when the kernel is very small.	Lite
	SmoothImage_Median	Edge-preserving noise removal (but slow).	Lite
	SmoothImage_Median_Mask	Replaces each pixel with the median of pixels within a 3x3 rectangular kernel (faster).	Lite
	SmoothImage_Middle	Useful for calculating per-pixel threshold values for image binarization.	Professional
	SmoothImage_Quantile	Edge-preserving noise removal (but slow).	Lite