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AVL.SmoothImage_Mean_Mask(AvlNet.Image, AvlNet.Region, AvlNet.MeanKernel, AvlNet.Image)
Smooths an image by averaging pixels within a small rectangular kernel.
| Namespace: | AvlNet |
|---|---|
| Assembly: | AVL.NET.dll |
Syntax
public static void SmoothImage_Mean_Mask( AvlNet.Image inImage, AvlNet.Region inRoi, AvlNet.MeanKernel inKernel, out AvlNet.Image outImage )
Parameters
- inImage
- Type: AvlNet.Image
Input image - inRoi
- Type: AvlNet.Region
Range of outImage pixels to be computed, or null. - inKernel
- Type: AvlNet.MeanKernel
Selects a predefined kernel - outImage
- Type: AvlNet.Image
Output image
Description
This operation is a simplified, fast in computation, version of SmoothImage_Mean, with predefined kernel and simplified ROI handling.
Kernel used in operation can be chosen by inKernel parameter:
- Box_3x3: 3 by 3 pixels, the closest equivalent is SmoothImage_Mean call with inKernel = Box, inRadiusX = 1, inRadiusY = 1, inIterationsCount = 1
- Box_5x5: 5 by 5 pixels, the closest equivalent is SmoothImage_Mean call with inKernel = Box, inRadiusX = 2, inRadiusY = 2, inIterationsCount = 1
Although above calls are described as closest equivalent their results may vary.
Examples
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SmoothImage_Mean_Mask performed on a sample image with inKernel = Box5x5.
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16.
This operation supports automatic parallelization for multicore and multiprocessor systems.
Hardware acceleration settings may be manipulated with Settings class.


