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

IPSDKIPLGLOBALMEASURE_API ipsdk::imaproc::attr::DoublesPtr	ipsdk::imaproc::glbmsr::yProjection2d (const ipsdk::image::ImageConstPtr &pInSubImg, const ipsdk::imaproc::attr::eProjStatType &eInProjStatType)
	wrapper function for measure of common statistics indicators in the image (mean, max, etc.) computed along the X direction More...

Detailed Description

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

The computed statistics for each line 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 lines of the input image.

Here is an example of a 8-bits grey level image and all the Y 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)
    
    # y projection measurement
    yProjection2dResult = glbmsr.yProjection2d(inImg,  PyIPSDK.eProjStatType.ePST_Mean)
    
    # retrieve measurement results
    meanValues = yProjection2dResult.coll
    print("Mean value for projected image along X axis for y=50 is " + str(meanValues[50]))

Example of C++ code :

Example informations

Associated library

IPSDKIPLGlobalMeasure

Header file

#include <IPSDKIPL/IPSDKIPLGlobalMeasure/Processor/YProjection2d/YProjection2d.h>

Code Example

        // compute Y minimum projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMin = glbmsr::yProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Min);
        // compute Y maximum projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMax = glbmsr::yProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Max);
        // compute Y sum projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatSum = glbmsr::yProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Sum);
        // compute Y mean projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMean = glbmsr::yProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Mean);
        // compute Y variance projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatVar = glbmsr::yProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Variance);
        // compute Y standard deviation projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatStdDev = glbmsr::yProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_StdDev);
        // compute Y median projection for input image
        // --------------------------------------------
        DoublesPtr outProjStatMedian = glbmsr::yProjection2d(pInImg, ipsdk::imaproc::attr::eProjStatType::ePST_Median);

See also: YProjection2dLvl1

Function Documentation

◆ yProjection2d()

IPSDKIPLGLOBALMEASURE_API ipsdk::imaproc::attr::DoublesPtr ipsdk::imaproc::glbmsr::yProjection2d	(	const ipsdk::image::ImageConstPtr &	pInSubImg,
		const ipsdk::imaproc::attr::eProjStatType &	eInProjStatType
	)

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

Exceptions

ipsdk::processor::IPSDKBaseProcessingException on failure