High-pass 3d

image =

highPass3dImg (inImg3d,inHalfKnlSize)

Detailed Description

high pass filter on 3d image

High-pass filters keep high frequencies of the input image and reduce low frequencies. They are usually used to make the image appear sharper. This current implementation of high-pass filter is equivalent to a 3d convolution, using a cubic kernel of given half size ( ), whose all elements equal to -1, except the central element, whose value equals to .

A mirror policy is used to apply filter to borders. Input and output images must have same size (see Border policy for more details).

See High-pass 2d for an illustration of high-pass filter on a 2d image

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLFiltering as filter

Code Example

    # opening of input images
    inImg = PyIPSDK.loadTiffImageFile(inputImgPath)
    
    # high pass filter 3d computation
    outImg = filter.highPass3dImg(inImg, 5)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLFiltering/Processor/HighPass3dImg/HighPass3dImg.h>

Code Example

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

        // definition of a custom output geometry
        ImageGeometryPtr pOutImageGeometry = geometry3d(
            outImgBufferType,
            pInImg->getSizeX(),
            pInImg->getSizeY(),
            pInImg->getSizeZ());

        // creation of output image
        boost::shared_ptr<MemoryImage> pOutImg = boost::make_shared<MemoryImage>();
        pOutImg->init(*pOutImageGeometry);

        // compute high pass filter on input image
        highPass3dImg(pInImg, inHalfKnlSize, pOutImg);