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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

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.

See also