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Image Local Transforms
| Icon | Name | Description / Applications | Modules | |
|---|---|---|---|---|
| BottomHatImage | BottomHatImage | Performs a morphological black top hat (bottom hat) operation on a image using a predefined kernel. |
FoundationLite | |
| BottomHatImage_AnyKernel | BottomHatImage_AnyKernel | Performs a morphological black top hat (bottom hat) operation on a image using an arbitrary kernel. |
FoundationLite | |
| BottomHatImage_Mask | BottomHatImage_Mask | Performs a morphological black top hat (bottom hat) operation on a image using a predefined mask. |
FoundationLite | |
| CloseImage | 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 | 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 | 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 | ConvolveImage | Computes a convolution of the input image with a user-specified mask. Non-standard local transforms defined by the user. |
FoundationLite | |
| DifferenceOfGaussians | 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 | DilateAndErodeImage | Calculates dilation and erosion simultaneously for faster execution. |
FoundationPro | |
| DilateImage | 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 | DilateImage_AnyKernel | Replaces each pixel with the maximum of pixels within an arbitrary kernel. |
FoundationPro | |
| DilateImage_Mask | DilateImage_Mask | Replaces each pixel with the maximum of pixels within a small rectangular kernel. |
FoundationLite | |
| ErodeImage | 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 | ErodeImage_AnyKernel | Replaces each pixel with the minimum of pixels within an arbitrary kernel. |
FoundationPro | |
| ErodeImage_Mask | ErodeImage_Mask | Replaces each pixel with the minimum of pixels within a small rectangular kernel. |
FoundationLite | |
| GradientDirAndPresenceImage | 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 | GradientImage | Computes a gradient image with smoothing operator of any size. The output pixels are signed. |
FoundationLite | |
| GradientImage_Mask | GradientImage_Mask | Computes a gradient image with a Sobel or Prewitt operator. |
FoundationLite | |
| GradientMagnitudeImage | GradientMagnitudeImage | Measures the strength of gradient at each pixel location. |
FoundationLite | |
| GradientMagnitudeImage_Signed | GradientMagnitudeImage_Signed | Computes an image of gradient for only selected direction. For highly optimized analysis of gradient directions. |
FoundationBasic | |
| OpenImage | 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 | 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 | 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 | SmoothImage_Bilateral | Smooths an image while preserving sharp edges. |
FoundationPro | |
| SmoothImage_Deriche | 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 | SmoothImage_Gauss | Smooths an image using a gaussian kernel. Removal of gaussian noise from images. |
FoundationLite | |
| SmoothImage_Gauss_Mask | SmoothImage_Gauss_Mask | Smooths an image using a predefined gaussian kernel. Removal of gaussian noise from images (fast). |
FoundationLite | |
| SmoothImage_Mean | 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 | 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 | 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 | SmoothImage_Median | Replaces each pixel with the median of pixels within a kernel. Edge-preserving noise removal (but slow). |
FoundationLite | |
| SmoothImage_Median_Mask | SmoothImage_Median_Mask | Replaces each pixel with the median of pixels within a 3x3 rectangular kernel (faster). |
FoundationLite | |
| SmoothImage_Middle | 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 | SmoothImage_Quantile | Replaces each pixel with a quantile of pixels within a kernel. Edge-preserving noise removal (but slow). |
FoundationLite | |
| SmoothRegion_Mean | 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 | StandardDeviationImage | Creates image of pixels' local standard deviations. |
FoundationBasic | |
| TopHatImage | TopHatImage | Performs a morphological white top hat operation on a image using a predefined kernel. |
FoundationLite | |
| TopHatImage_AnyKernel | TopHatImage_AnyKernel | Performs a morphological white top hat operation on a image using an arbitrary kernel. |
FoundationLite | |
| TopHatImage_Mask | TopHatImage_Mask | Performs a morphological white top hat operation on a image using a predefined mask. |
FoundationLite |
