measure of common statistics indicators in the image (mean, max, etc.) computed along the Y axis More...

IPSDKIPLGLOBALMEASURE_API ipsdk::imaproc::attr::DoublesPtr	ipsdk::imaproc::glbmsr::xProjection2d (const ipsdk::image::ImageConstPtr &pInSubImg2d, const ipsdk::imaproc::attr::eProjStatType &eInProjStatType)
	wrapper function for measure of common statistics indicators in the image (mean, max, etc.) computed along the Y direction More...

Detailed Description

measure of common statistics indicators in the image (mean, max, etc.) computed along the Y axis

The computed statistics for each column can be : minimum, maximum, sum, mean, variance, standard deviation or median (see ipsdk::imaproc::attr::eProjStatType).

The output is a vector whose size equals to the number of columns of the input image.

Here is an example of a 8-bits grey level image and all the X projections operations which can be applied :

Attributes description

Attribute description for algorithm :

Name	ToolTip	Default Initializer
ipsdk::imaproc::attr::InSubImg2d	[Input] grey level 2d sub image for operation	X
ipsdk::imaproc::attr::InProjStatType	[Input] Predefined types for a statistical projection algorithm	X
ipsdk::imaproc::attr::OutProjStat	[Output] Vector containing the measure of common statistics indicators in the image (mean, max, etc.) along a given direction	ipsdk::processor::allocate (_pOutProjStat)

Global Rule description

Global rule description for algorithm :
ipsdk::processor::none ()

Example of Python code :

Example imports

import PyIPSDK

import PyIPSDK.IPSDKIPLGlobalMeasure as glbmsr

Code Example

    # opening of input image
    inImg = PyIPSDK.loadTiffImageFile(inputImgPath)
    
    # x projection measurement
    xProjection2dResult = glbmsr.xProjection2d(inImg,  PyIPSDK.eProjStatType.ePST_Mean)
    
    # retrieve measurement results
    meanValues = xProjection2dResult.coll
    print("Mean value for projected image along Y axis for x=50 is " + str(meanValues[50]))

Example of C++ code :

Example informations

Associated library

IPSDKIPLGlobalMeasure

Header file

#include <IPSDKIPL/IPSDKIPLGlobalMeasure/Processor/XProjection2d/XProjection2d.h>

Code Example

        // compute X minimum projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMin = glbmsr::xProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Min);
        // compute X maximum projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMax = glbmsr::xProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Max);
        // compute X sum projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatSum = glbmsr::xProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Sum);
        // compute X mean projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMean = glbmsr::xProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Mean);
        // compute X variance projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatVar = glbmsr::xProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Variance);
        // compute X standard deviation projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatStdDev = glbmsr::xProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_StdDev);
        // compute X median projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMedian = glbmsr::xProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Median);

See also: XProjection2dLvl1

Function Documentation

◆ xProjection2d()

IPSDKIPLGLOBALMEASURE_API ipsdk::imaproc::attr::DoublesPtr ipsdk::imaproc::glbmsr::xProjection2d	(	const ipsdk::image::ImageConstPtr &	pInSubImg2d,
		const ipsdk::imaproc::attr::eProjStatType &	eInProjStatType
	)

wrapper function for measure of common statistics indicators in the image (mean, max, etc.) computed along the Y direction

Exceptions

ipsdk::processor::IPSDKBaseProcessingException on failure