Applies a 2-Dimensional Anisotropic Diffusion filter on an image in order to reduce noise and speckling, while preserving the edges.
virtual L_INT LBitmap::SRADAnisotropicDiffusion(nIter, nLambda, pRect)
Number of iterations the filter will perform. The default value is 10.
The smoothing time step value. Valid values range from 0 to 100. A value of 0 means nothing will be done to the image. By default, nLambda is set at 50.
The homogeneous region of uniform speckles.
|SUCCESS||The function was successful.|
|< 1||An error occurred. Refer to Return Codes.|
The Speckle Reducing Anisotropic Diffusion (SRAD) function is similar to the LBitmap::AverageFilter function, but is used to reduce noise and speckling in images while preserving the edges instead of blurring.
LEADTOOLS offers three functions that implement anisotropic diffusion:
All three reduce noise and preserve edges and perform better than the LBitmap::MedianFilter or LBitmap::GaussianFilter functions. With the anisotropic functions, areas within regions are smoothed, but the edges are not affected.
The number of iterations controls the number of times the filter will be applied to an image. The lower the number of iterations, the faster the filter will perform. Higher iterations typically mean clearer results.
This function can only process the entire image. It does not support regions.
This function supports 8- and 16-bit grayscale images and 24- and 32-bit colored images.
This function supports signed/unsigned images.
#if defined (LEADTOOLS_V19_OR_LATER)
nRet = LeadBitmap.Load(MAKE_IMAGE_PATH(TEXT("IMAGE3.dcm")), 0,ORDER_BGR);
return nRet ;
/* Apply SRADAnisotropicDiffusion filter */
RECT rc ;
rc.left = 150;
rc.right = 180;
rc.top = 300;
rc.bottom = 330;
nRet = LeadBitmap.SRADAnisotropicDiffusion(10, 50, &rc);
return nRet ;
#endif // LEADTOOLS_V19_OR_LATER
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