Generic Seeded Distance Map 3dSee full documentation

image =	genericSeededDistanceMap3dImg (inBinImg3d,inBinSeedImg3d,inDistWeight3d)
image =	genericSeededDistanceMap3dImg (inBinImg3d,inBinSeedImg3d,inDistWeight3d,maxDistanc)

Detailed Description

generic seeded distance map transform of a 3d input binary image according to a 3d seeded image

3d generic seeded distance map algorithm is the 3d extension of Generic Seeded Distance Map 2d. It allows to compute the distance to the closest seeded voxel in a region for each voxel of this region, according to given weights stored in a ipsdk::imaproc::attr::DistWeight3d attribute. The region is defined by a binary volume with voxel intensities set to 1. The seeded voxels are defined by a seeded volume with voxel intensities set to 1. If the parameter is provided, the propagation is constrained so that it stops when the distance is higher than the value.

The resulting image buffer type must be one of the following :

• ipsdk::image::eImageBufferType::eIBT_UInt16
• ipsdk::image::eImageBufferType::eIBT_UInt32
• ipsdk::image::eImageBufferType::eIBT_Real32

See Generic Seeded Distance Map 2d for more details.

Here is an example of a 3d seeded distance map computation applied to a binary input image with a real result image with each weighting coefficients set to 1 :

See also

Generic Seeded Distance Map 2d

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLAdvancedMorphology as advmorpho

Code Example

    # opening of input images
    inImg = PyIPSDK.loadTiffImageFile(inputImgPath)
    inSeedsImg = PyIPSDK.loadTiffImageFile(inputSeedsImgPath)
    
    # setting of used distance weights
    inDistWeight3d = PyIPSDK.createDistWeight3d(1, 1, 2, math.sqrt(2), math.sqrt(5), math.sqrt(5), math.sqrt(6))
    
    # generic seeded distance map 3d computation
    outDistImg = advmorpho.genericSeededDistanceMap3dImg(inImg, inSeedsImg, inDistWeight3d)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLAdvancedMorphology/Processor/GenericSeededDistanceMap3dImg/GenericSeededDistanceMap3dImg.h>

Code Example

        // opening input image
        ImagePtr pInBinImg = loadTiffImageFile(inputImgPath);

        // opening seed input image
        ImagePtr pInSeedImg = loadTiffImageFile(inputSeedImgPath);

        // Distance weighting coefficients
        DistWeight3dPtr pDistWeight3d = createDistWeight3d(xWeight, yWeight, zWeight, xyWeight, xzWeight, yzWeight, xyzWeight);

        // define output image geometry
        ImageGeometryPtr pDistGeometry = geometry3d(outputImageBufferType,
                                                    pInBinImg->getSizeX(),
                                                    pInBinImg->getSizeY(),
                                                    pInBinImg->getSizeZ());

        // creation of output image
        boost::shared_ptr<MemoryImage> pOutDistImg(boost::make_shared<MemoryImage>());
        pOutDistImg->init(*pDistGeometry);
        
        // compute distance map on input image
        genericSeededDistanceMap3dImg(pInBinImg, pInSeedImg, pDistWeight3d, pOutDistImg);