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void	gaussianRandomImg (inGaussianParameter,outImg)

Detailed Description

initialization of an image with random values generated using a normal law

This algorithm allows to fill an image with random sampled values. The pixel intensities follow a normal law defined by the given mean and standard deviation stored in an ipsdk::imaproc::attr::GaussianParameter attribute.

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLUtility as util

Code Example

    # create an image
    img = PyIPSDK.createImage(PyIPSDK.eImageBufferType.eIBT_UInt8, 510, 509)
    
    # create a gaussian random image with a given mean and a given standard deviation
    mean = 100
    stdDev = 25
    util.gaussianRandomImg(PyIPSDK.createGaussianParameter(mean,  stdDev),  img)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLUtility/Processor/GaussianRandomImg/GaussianRandomImg.h>

Code Example

        // creation of an input image
        ImageGeometryPtr pImageGeometry = geometry2d(imageBufferType, sizeX, sizeY);
        boost::shared_ptr<MemoryImage> pImg(boost::make_shared<MemoryImage>());
        pImg->init(*pImageGeometry);
        
        // Define the Gaussian parameters
        GaussianParameterPtr pGaussianParameter = createGaussianParameter(fMean, fStdDev);

        // initialize image content with random values in specified range
        gaussianRandomImg(pGaussianParameter, pImg);