Fill hole 2dSee full documentation

image =

fillHole2dImg (inBinImg)

Detailed Description

holes filling in a binary 2d image

This algorithm allows to fill holes inside connected components in an input binary image InBinImg with respect to a given neighborhood 2d policy (see 2d neighborhood models).

Two versions of this algorithm are implemented which can be selected using attribute InOptOptimizationPolicy which associated to enumerate ipsdk::imaproc::attr::eProcessingOptimizationPolicy :

• a 'fast' version using a binary and a label intermediate image (which can optionally be provided via OutOptWk1BinImg and OutOptWk1LabelImg attributes)
• a low memory consumption iterative algorithm which propagate reconstructed elements until convergence.

Here is an example of hole filling algorithm on an image 2d :

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLAdvancedMorphology as advmorpho

Code Example

    # opening of input image
    inBinImg = PyIPSDK.loadTiffImageFile(inputImgPath)
    
    # compute hole filling on input image
    outImg = advmorpho.fillHole2dImg(inBinImg)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLAdvancedMorphology/Processor/FillHole2dImg/FillHole2dImg.h>

Code Example

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

    // compute hole filling on input image
    ImagePtr pOutImg = fillHole2dImg(pInBinImg);