Image registration using 3D grey signed features

outImg,transform =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2)
outImg,transform =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel)
outImg,transform =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,interpPolicy,nbPoints)
outImg,transform =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,interpPolicy,nbPoints,correlationThreshold)
outImg,transform =	greySignedFeatures3dRegistrationImg (inImg1,inImg2,motionModel,interpPolicy,nbPoints,correlationThreshold,gradStdDev)
outImg,transform =	greySignedFeatures3dRegistrationImg (inImg1,inImg2,motionModel,correlationThreshold,params)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,outImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,outImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,interpPolicy,nbPoints,outImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,interpPolicy,nbPoints,correlationThreshold,outImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg1,inImg2,motionModel,interpPolicy,nbPoints,correlationThreshold,gradStdDev,outImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg1,inImg2,motionModel,correlationThreshold,params,outImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,outImg,outMaskImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,outImg,outMaskImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,interpPolicy,nbPoints,outImg,outMaskImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg3d1,inImg3d2,motionModel,interpPolicy,nbPoints,correlationThreshold,outImg,outMaskImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg1,inImg2,motionModel,interpPolicy,nbPoints,correlationThreshold,gradStdDev,outImg,outMaskImg)
RegistrationMotionTransform3d =	greySignedFeatures3dRegistrationImg (inImg1,inImg2,motionModel,correlationThreshold,params,outImg,outMaskImg)

Detailed Description

Apply to the first input 3D image the transform estimated between the two input 3D images using ExtractGreySignedFeatures3d.

This algorithm registers the first input 3D image to match 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,
• the estimated transform is 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.

For an example of result in 2D case, please see Image registration using 2D grey signed features.

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLRegistration as registration

Code Example

    registrationModel = PyIPSDK.eRMM3d_Rigid
    interpolationPolicy = PyIPSDK.eIP_Linear
    nbPoints = 100
    correlationRatio = 0.85
    outImg, transform = registration.greySignedFeatures3dRegistrationImg(inImg1, inImg2, registrationModel, interpolationPolicy, nbPoints, correlationRatio)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLRegistration/Processor/GreySignedFeatures3dRegistrationImg/GreySignedFeatures3dRegistrationImg.h>

Code Example

        const eRegistrationMotionModel3d registrationModel = eRegistrationMotionModel3d::eRMM3d_Rigid;
        const eInterpolationPolicy interpolationPolicy = eInterpolationPolicy::eIP_Linear;
        const ipUInt32 nbPoints = 100;
        const ipReal32 correlationThreshold = 0.85f;
        GSFRegistrationImg3dResult result = greySignedFeatures3dRegistrationImg(pInImg1, pInImg2, registrationModel, interpolationPolicy, nbPoints, correlationThreshold);