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SmoothImage
Description
Smooths an image using a selected algorithm.
Filters in this group
| Icon | Name | Filter Name | Description |
|---|---|---|---|
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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. |
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Median | SmoothImage_Median | Replaces each pixel with the median of pixels within a kernel. Edge-preserving noise removal (but slow). |
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Quantile | SmoothImage_Quantile | Replaces each pixel with a quantile of pixels within a kernel. Edge-preserving noise removal (but slow). |
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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. |
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Median_Mask | SmoothImage_Median_Mask | Replaces each pixel with the median of pixels within a 3x3 rectangular kernel (faster). |
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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. |
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Bilateral | SmoothImage_Bilateral | Smooths an image while preserving sharp edges. |
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Gauss | SmoothImage_Gauss | Smooths an image using a gaussian kernel. Removal of gaussian noise from images. |
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Gauss_Mask | SmoothImage_Gauss_Mask | Smooths an image using a predefined gaussian kernel. Removal of gaussian noise from images (fast). |
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Deriche | SmoothImage_Deriche | Smooths an image using Deriche filter. Approximation of the gaussian filter, which can be faster for large kernels. |
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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. |
| DirAndPresence | SmoothImage_DirAndPresence | Smooths the result of GradientDirAndPresenceImage. |
