Counting 2d objects

scalar =

counting2dMsr (inLabelImg)

Detailed Description

Count the number of objects in the image.

This algorithm simply computes the number of objects in the input label image. If an image with 3 dimensions or more is provided, the algorithms returns the number of objects for each slice of each dimension.

Here is an example of result :

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLGlobalMeasure as glbmsr

Code Example

    # measurement for a single slice
    result = glbmsr.counting2dMsr(inLabelImg)

    # retrieve measurement results
    print("The number of objects is " + str(result))

    # measurement for a multi-slice case
    planIndexedResult = glbmsr.multiSlice_counting2dMsr(inLabelImg_multiSlice)

    # retrieve measurement results
    resSlice = PyIPSDK.toPyDict(planIndexedResult)[(1, 0, 0)]
    print("The number of objects in the second slice is " + str(resSlice["Value"]))

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLGlobalMeasure/Processor/Counting2dMsr/Counting2dMsr.h>

Code Example

        // -------------------------------------------------------
        // Case of monoslice calculation
        const ipUInt64 count_monoSlice = counting2dMsr(pLabelImg);

        // -------------------------------------------------------
        // Case of multislice calculation
        const PlanIndexedIndexableUInt64Ptr pPICounts = multiSlice_counting2dMsr(pLabelImg_multiSlice);

        const ipUInt64 countAtSlice1 = pPICounts->getValue(1, 0, 0).getValue<IndexableUInt64::Value>();