image = maxAbsImgImg (inImg1,inImg2)

Detailed Description

maximum of the absolute values of 2 images, pixel by pixel

On output image values are given by:

$OutImg[i] = \begin{cases} \lvert InImg1[i] \rvert, & \text{if } \lvert InImg1[i] \rvert \geq \lvert InImg2[i] \rvert \\ \lvert InImg2[i] \rvert, & \text{otherwise} \end{cases}$

Input and output images must have same size.

Example of Python code :

Example imports

import PyIPSDK

import PyIPSDK.IPSDKIPLArithmetic as arithm

Code Example

    # opening input images
    geometry = PyIPSDK.geometry2d(PyIPSDK.eImageBufferType.eIBT_Real32, 510, 509)
    inImg1 = PyIPSDK.loadRawImageFile(inputImg1Path, geometry)
    inImg2 = PyIPSDK.loadRawImageFile(inputImg2Path, geometry)
    
    # computation of maxima of absolute values of the 2 input images
    outImg = arithm.maxAbsImgImg(inImg1, inImg2)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLArithmetic/Processor/MaxAbsImgImg/MaxAbsImgImg.h>

Code Example

        // open input images
        ImageGeometryPtr pInputImageGeometry = geometry2d(inType, sizeX, sizeY);
        ImagePtr pInImg1 = loadRawImageFile(in1Path, *pInputImageGeometry);
        ImagePtr pInImg2 = loadRawImageFile(in2Path, *pInputImageGeometry);
        // Sample with a generated output image
        // ------------------------------------
        // compute maximum of absolute values for input images
        ImagePtr pAutoOutImg = maxAbsImgImg(pInImg1, pInImg2);
        // Sample with a provided output image
        // -----------------------------------
        // create output image
        ImageGeometryPtr pOutputImageGeometry = geometry2d(outType, sizeX, sizeY);
        boost::shared_ptr<MemoryImage> pOutImg(boost::make_shared<MemoryImage>());
        pOutImg->init(*pOutputImageGeometry);
        // compute maximum of absolute values of input images
        maxAbsImgImg(pInImg1, pInImg2, pOutImg);