#include <RRecursive2dBlurOp.hpp>
Inheritance diagram for RRecursive2dBlurOp:
Purpose: Fast Computation of gaussian blurring. Second order filter. Papers: "Recursive Digital Filters,", Victor De Brunner , John Wiley Encyclopedia of Electrical and Electronic Engineer 1999, Volume 18. "Programming techniques for realtime software implementation, of optimal edge detectors: a comparision between state of the art DSP's and RISC architectures." Frantz Lohier, Lionel Lacassagne, Patrick Garda, Université Pierre et Marie Curie, France 199x. "Evaluation of Diffusion Schemes for Multiscale-Watershed Segmentation,", Erik Dam, Thesis , University of Copenhagen 2000. "Recursively Implementing Gaussian and its Derivatives.", R. Deriche, INRIA 1993. "Recursivity and PDE's in image processing", L. Alvarez, R. Deriche and F Santana, Spain 1998.
@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2002, Eggs & Pictures. MIT/Open BSD copyright model.
Public Methods | |
RRecursive2dBlurOp (double asigma=1.0) | |
virtual | ~RRecursive2dBlurOp () |
virtual RImage * | filter (RImage *src, RImage *dest=0) |
Local full image filtering. | |
virtual RImage * | selectedFilter (AnImage *mask, RImage *src, RImage *dest=0) |
Local filtering in a mask area. | |
virtual void | report (FILE *file) |
Protected Methods | |
virtual void | computeNormalisation () |
virtual void | computeCausalFilter () |
virtual void | computeNonCausalFilter () |
Protected Attributes | |
double | sigma |
double | scale |
double | a0 |
double | a1 |
double | b0 |
double | w0 |
double | c0 |
double | c1 |
double | b1 |
double | w1 |
double | n0p |
double | n1p |
double | n2p |
double | n3p |
double | d1p |
double | d2p |
double | d3p |
double | d4p |
double | n1m |
double | n2m |
double | n3m |
double | n4m |
double | d1m |
double | d2m |
double | d3m |
double | d4m |
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Local full image filtering.
Implements AbsRImageFilter. |
|
Local filtering in a mask area.
Reimplemented from AbsRImageFilter. |