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Smooths an image by averaging pixels within a small rectangular kernel.
Name | Type | Description | |
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inImage | Image | Input image |
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inRoi | Region* | Range of outImage pixels to be computed |
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inKernel | MeanKernel | Selects a predefined kernel |
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outImage | Image | Output image |
Applications
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.
Hints
- Choose kernel size by setting inKernel input.
- If a larger kernel is required, switch to SmoothImage_Mean.
- If you want to remove noises from an image, consider using SmoothImage_Gauss_Mask instead.
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.
Complexity Level
This filter is available on Basic Complexity Level.
Filter Group
This filters is member of SmoothImage filter group.