Horus C++ Reference

Equivalent to : img.genConvSeparated( 1, gaussx, gaussy, "mul", "addAssign", HxImageRep::ARITH_PREC)

where gaussx, gaussy are the 1d double-precision Gaussian kernels based on the respective sets of sigma, orderDeriv, accuracy parameters.

Notice that the kernel is applied to every dimension of the image separately and that the result image has a double-precision pixel type.

00018 {
00019     HxString fname("HxConvGauss2d");
00020 
00021     HxImageRep gaussx, gaussy;
00022 
00023     if (img.isNull())
00024     {
00025         HxGlobalError::instance()->reportError(fname, img.name(), "null image", HxGlobalError::HX_GE_INVALID);
00026         return HxImageRep();
00027     }
00028     if (sigmax <= 0.0)
00029     {
00030         HxGlobalError::instance()->reportError(fname, img.name(), "sigmax is equal to or less than zero", HxGlobalError::HX_GE_INVALID);
00031         return HxImageRep();
00032     }
00033     if (sigmay <= 0.0)
00034     {
00035         HxGlobalError::instance()->reportError(fname, img.name(), "sigmay is equal to or less than zero", HxGlobalError::HX_GE_INVALID);
00036         return HxImageRep();
00037     }
00038     if (orderDerivx < 0)
00039     {
00040         HxGlobalError::instance()->reportError(fname, img.name(), "orderDerivx is less than 0", HxGlobalError::HX_GE_INVALID);
00041         return HxImageRep();
00042     }
00043     if (orderDerivy < 0)
00044     {
00045         HxGlobalError::instance()->reportError(fname, img.name(), "orderDerivy is less than 0", HxGlobalError::HX_GE_INVALID);
00046         return HxImageRep();
00047     }
00048     if (truncationx < 0)
00049     {
00050         HxGlobalError::instance()->reportError(fname, img.name(), "truncationx is less than 0", HxGlobalError::HX_GE_INVALID);
00051         return HxImageRep();
00052     }
00053     if (truncationy < 0)
00054     {
00055         HxGlobalError::instance()->reportError(fname, img.name(), "truncationy is less than 0", HxGlobalError::HX_GE_INVALID);
00056         return HxImageRep();
00057     }
00058 
00059     if (img.dimensionality() != 2)
00060     {
00061         HxGlobalError::instance()->reportError(fname, "only defined for 2D images", HxGlobalError::HX_GE_INVALID);
00062         return HxImageRep();
00063     }
00064 
00065     gaussx = HxMakeGaussian1d(sigmax, orderDerivx, truncationx,
00066         img.dimensionSize(1));
00067     gaussy = HxMakeGaussian1d(sigmay, orderDerivy, truncationy,
00068         img.dimensionSize(2));
00069 
00070     return img.genConv2dSep(
00071         gaussx, gaussy, "mul", "addAssign", HxImageRep::ARITH_PREC);
00072 }

Functions
HxImageRep L_HXIMAGEREP	HxConvGauss2d (HxImageRep img, double sigmax, int orderDerivx, double accuracyx, double sigmay, int orderDerivy, double accuracyy)
	HxConvGauss2d. More...

HxConvGauss2d.h File Reference

Functions

Detailed Description

Function Documentation