outImg,transform =	greySignedFeatures2dRegistrationImg (inImg1,inImg2)
outImg,transform =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,motionModel)
outImg,transform =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,motionModel,interpPolicy,nbPoints)
RegistrationMotionTransform2d =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,outImg)
RegistrationMotionTransform2d =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,motionModel,outImg)
RegistrationMotionTransform2d =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,motionModel,interpPolicy,nbPoints,outImg)
RegistrationMotionTransform2d =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,outImg,outMaskImg)
RegistrationMotionTransform2d =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,motionModel,outImg,outMaskImg)
RegistrationMotionTransform2d =	greySignedFeatures2dRegistrationImg (inImg1,inImg2,motionModel,interpPolicy,nbPoints,outImg,outMaskImg)

Detailed Description

Apply to the first input image the transform estimated between the two input images using ExtractGreySignedFeatures2d.

This algorithm register the first input image to patch the second input image. It simplifies the use of grey features to directly apply the transform to the image.

To do so, the following steps are performed:

grey signed features computation of each image with Extract grey signed features 2d,
transform estimation with Registration of grey signed features 2d,
transform performed on the first input image with Warping 2d algorithm.

A mask image can also been computed if it is provided by the user.

The algorithm also returns the estimated motion, to allow the user to have access to the tranform parameters.

Here is an example of result of registration:

Example of Python code :

Example imports

import PyIPSDK

import PyIPSDK.IPSDKIPLRegistration as registration

Code Example

    # opening of input images
    inImg1 = PyIPSDK.loadTiffImageFile(inputImgPath1)
    inImg2 = PyIPSDK.loadTiffImageFile(inputImgPath2)
    
    outImg, transform = registration.greySignedFeatures2dRegistrationImg(inImg1, inImg2, PyIPSDK.eRMM2d_Similarity)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLRegistration/Processor/GreySignedFeatures2dRegistrationImg/GreySignedFeatures2dRegistrationImg.h>

Code Example

GSFRegistrationImg2dResult result = greySignedFeatures2dRegistrationImg(pInImg1, pInImg2, eRegistrationMotionModel2d::eRMM2d_Similarity);