Local Extrema 2dSee full documentation

image =	localMaxima2dImg (inImg)
image =	localMinima2dImg (inImg)

Detailed Description

algorithm allowing to extract local extrema 2d from an image

This algorithm allows, given an input image InImg and a searched extrema type defined by InLocalExtremumType parameter, to compute a binary ouput image OutBinImg where all set pixels are local extrema.

This means that if a pixel is set in output image, all neighbor value respect one of following condition :

• neighbor value is lower in case of maxima search (or greater in case of minima search)
• neighbor value is equal and neighbor is also a extrema (plateau case with neighbor pixel set in output image)

This is illustrated in case of a 1d signal :

Here is an example of a local maxima extraction applied to an unsigned char input image :

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLAdvancedMorphology as advmorpho

Code Example

    # opening of input image
    inImg = PyIPSDK.loadTiffImageFile(inputImgPath)
    
    # local maxima 2d computation
    outImg = advmorpho.localMaxima2dImg(inImg)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLAdvancedMorphology/Processor/LocalExtrema2dImg/LocalExtrema2dImg.h>

Code Example

        // opening of input image
        ImagePtr pInImg = loadTiffImageFile(inputImgPath);
    
        // mark local maxima in input image
        ImagePtr pOutMaxImg = localMaxima2dImg(pInImg);

        // mark local minima in input image
        ImagePtr pOutMinImg = localMinima2dImg(pInImg);