LBitmap::SigmaFilter

Summary

Performs an edge-preserving average filter on the image.

Syntax

#include "ltwrappr.h"

L_INT LBitmap::SigmaFilter(nSize, nSigma, nThreshhold, bOutline, uFlags = 0)

Parameters

L_UINT nSize

Size of the averaging neighborhood. It is the length, in pixels, of one side of a square.

L_UINT nSigma

Number of standard deviations of the kernel calculated pixels must be within. If low values such as 1 or 2 are used, the filter acts more as a noise filtering function that preserves functions.

L_FLOAT nThreshhold

Minimum percentage of pixels included to the number of pixels in the kernel. If the percentage is not met, then all the pixels are automatically included. More noise is suppressed with higher threshold values.

The higher the threshold the more noise is suppressed.

L_BOOL bOutline

Boolean flag that indicates whether the central pixel is included in the calculation of the filter. Possible values are:

Value Meaning
TRUE Central pixel is included.
FALSE Central pixel is excluded.

L_UINT32 uFlags

Reserved for future use. Must be 0.

Returns

Value Meaning
SUCCESS The function was successful.
< 1 An error occurred. Refer to Return Codes.

Comments

The amount of blur is controlled by specifying the size of the neighborhood.

This function supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available in the Document and Medical Imaging toolkits.

This function does not support 32-bit grayscale images. It returns the error code ERROR_GRAY32_UNSUPPORTED if a 32-bit grayscale image is passed to this function.

Sigma Function - Before

Sigma Function - Before

Sigma Function - After

Sigma Function - After

View additional platform support for this Sigma function.

Required DLLs and Libraries

Platforms

Win32, x64.

See Also

Functions

Topics

Example

L_INT LBitmap__SigmaFilterExample() 
{ 
   L_INT nRet; 
   LBitmap LeadBitmap; 
 
   nRet = LeadBitmap.Load(MAKE_IMAGE_PATH(TEXT("sample5.cmp")), 0,ORDER_BGR); 
   if(nRet !=SUCCESS) 
      return nRet; 
 
 
   nRet = LeadBitmap.SigmaFilter(5, 2, 0.2f, FALSE, 0);; 
   if(nRet !=SUCCESS) 
      return nRet; 
 
   return SUCCESS; 
} 
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LEADTOOLS Raster Imaging C++ Class Library Help
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© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.