Horus C++ Reference

Equivalent to : img.genConvSeparated( gauss, "mul", "addAssign", HxImageRep::ARITH_PREC)

where gauss is the 1d double-precision Gaussian kernel based on sigma and accuracy.

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("HxGauss");
00020 
00021     if (img.isNull())
00022     {
00023         HxGlobalError::instance()->reportError(fname, img.name(), "null image", HxGlobalError::HX_GE_INVALID);
00024         return HxImageRep();
00025     }
00026 
00027     if (sigma <= 0.0)
00028     {
00029         HxGlobalError::instance()->reportError(fname, img.name(), "invalid value of sigma", HxGlobalError::HX_GE_INVALID);
00030         return HxImageRep();
00031     }
00032     if (truncation < 0.0)
00033     {
00034         HxGlobalError::instance()->reportError(fname, img.name(), "invalid value of truncation", HxGlobalError::HX_GE_INVALID);
00035         return HxImageRep();
00036     }
00037 
00038 
00039     int minSize = HxImageMinSize(img);
00040     HxImageRep gauss = HxMakeGaussian1d(sigma, 0, truncation, minSize);
00041     return img.genConvSeparated(
00042         gauss, "mul", "addAssign", HxImageRep::ARITH_PREC);
00043 }

Functions
HxImageRep L_HXIMAGEREP	HxGauss (HxImageRep img, double sigma, double accuracy=3.0)
	Convolution Gaussian. More...

HxGauss.h File Reference

Functions

Detailed Description

Function Documentation