Image Equality

image =	isEqualImgImg (inImg1,inImg2)
image =	isEqualImgImg (inImg1,inImg2,bIngoreBackground)
image =	isEqualImgImg (inImg1,inImg2,tolerance)
image =	isEqualImgImg (inImg1,inImg2,tolerance,bIngoreBackground)

Detailed Description

Set the pixels to true in the ouput binary images if the two input images are equal according to a tolerance.

This algorithm compares the two input images. The pixel in the output image is set to 1 if the corresponding pixels in the input images are similar, according to a tolerance.

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLLogical as logic

Code Example

    # opening of input images
    inGeometry = PyIPSDK.geometry2d(PyIPSDK.eImageBufferType.eIBT_UInt8, 510, 509)
    inImg1 = PyIPSDK.loadRawImageFile(inputImgPath1, inGeometry)
    inImg2 = PyIPSDK.loadRawImageFile(inputImgPath2, inGeometry)

    # Comparison
    outImg = logic.isEqualImgImg(inImg1, inImg2)

Example of C++ code :

Example informations

Header file

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

Code Example

        // opening input images
        ImageGeometryPtr pImageGeometry = geometry2d(imageBufferType, sizeX, sizeY);
        ImagePtr pInImg1 = loadRawImageFile(inputImg1Path, *pImageGeometry);
        ImagePtr pInImg2 = loadRawImageFile(inputImg2Path, *pImageGeometry);
        
        // comparison of images without tolerance
        ImagePtr pOutImg_NoTol = isEqualImgImg(pInImg1, pInImg2);

        // comparison of images with tolerance
        ImagePtr pOutImg_Tol = isEqualImgImg(pInImg1, pInImg2, createImgComparisonAbsTolerance(absTolerance));