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