Bitwise nxor

image =

bitwiseNXOrImgImg (inIntImg1,inIntImg2)

Detailed Description

Bitwise nxor operation on 2 input images

On output image values are given by:

(with corresponding to the Bitwise not operator and corresponding to the Bitwise xor operator)

Input and output images must have same size and buffer type. Buffers must be of type integer

A Bitwise nxor operator applied to 2 integers performs the logical nand (abbreviation for "not exclusive or") operation on each pair of corresponding bits of the binary representation of these 2 integers. As shown in the truth table below, the result in each position is 1 if the two bits have the same value; otherwise, the result is 1.

Input bit #1	Input bit #2	Output bit :
0	0	1
0	1	0
1	0	0
1	1	1

For instance, if we compute the result of a Bitwise nxor on the two integers 5 and 3, we obtain;

   0101 (decimal 5)
!^ 0011 (decimal 3)
=  1001 (decimal 9)

See also

"Bitwise operation --- Wikipedia, The Free Encyclopedia", 2014, http://en.wikipedia.org/w/index.php?title=Bitwise_operation&oldid=604175200

Here is an example of a Bitwise nxor operation applied to two 2D binary images (black pixels have value 0, white pixels have value 1):

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLLogical as logic

Code Example

    # opening of input images
    inImg1 = PyIPSDK.loadTiffImageFile(inputImgPath1)
    inImg2 = PyIPSDK.loadTiffImageFile(inputImgPath2)
    
    # bitwize 'nxor' computation
    outImg = logic.bitwiseNXOrImgImg(inImg1,  inImg2)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLLogical/Processor/BitwiseNXOrImgImg/BitwiseNXOrImgImg.h>

Code Example

        // open input images
        ImageGeometryPtr pImageGeometry = geometry2d(inType, sizeX, sizeY);
        ImagePtr pInImg1 = loadRawImageFile(in1Path, *pImageGeometry);
        ImagePtr pInImg2 = loadRawImageFile(in2Path, *pImageGeometry);

        // compute bitwise exclusive or on input images
        ImagePtr pOutImg = bitwiseNXOrImgImg(pInImg1, pInImg2);