cbicaITKOpenCVUtilities.h File Reference

Some basic utility functions to be used along with OpenCV. More...

#include <algorithm>
#include <functional>
#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "gdcmMD5.h"
#include "opencv2/core/core.hpp"

Include dependency graph for cbicaITKOpenCVUtilities.h:

Go to the source code of this file.

Functions
cv::Mat	Add (const cv::InputArray &input1, const cv::InputArray &input2)
	Wrap of OpenCV's add function.
cv::Mat	Invert (const cv::InputArray &input)
	Wrap of OpenCV's invert function.
template<typename TDataType >
std::vector< TDataType >	L2normalize (const std::vector< TDataType > &inputVector)
	Normalize a vector based on its L2 norm. More...
cv::Mat	Multiply (const cv::Mat &input1, const cv::Mat &input2)
	Wrap of OpenCV's multiply function.
cv::Mat	Multiply (const cv::Mat &input1, const double input2)
	Wrap of OpenCV's multiply function.
cv::Mat	Subtract (const cv::InputArray &input1, const cv::InputArray &input2)
	Wrap of OpenCV's subtract function.
cv::Mat	Transpose (const cv::InputArray &input)
	Wrap of OpenCV's transpose function.
template<class TImageType >
cv::Mat	VectorizeImages (const std::vector< std::vector< typename TImageType::Pointer > > inputSubjectsAndImages, const std::vector< typename TImageType::Pointer > maskImages, const bool columnMajor, const bool appendInputImagesFromSubjects, const bool maskDefinedPerSubject)
	Vectorizes a set of images. More...
template<class TImageType >
cv::Mat	VectorizeImages (const std::vector< std::vector< typename TImageType::Pointer > > inputSubjectsAndImages, const std::vector< std::vector< typename TImageType::IndexType > > maskIndeces, const bool appendInputImagesFromSubjects=false, const bool columnMajor=false, const bool maskDefinedPerSubject=false)
	Vectorizes a set of images. More...
template<class TImageType >
cv::Mat	VectorizeImages (const std::vector< std::vector< typename TImageType::Pointer > > inputSubjectsAndImages, const bool columnMajor=false, const bool appendInputImagesFromSubjects=false)
	Vectorizes a set of images. More...

Detailed Description

Some basic utility functions to be used along with OpenCV.

Dependecies: ITK, OpenCV, OpenMP

https://www.cbica.upenn.edu/sbia/software/
softw.nosp@m.are@.nosp@m.cbica.nosp@m..upe.nosp@m.nn.ed.nosp@m.u

Copyright (c) 2015 University of Pennsylvania. All rights reserved.
See COPYING file or https://www.cbica.upenn.edu/sbia/software/license.html

Function Documentation

L2normalize()

std::vector< TDataType > cbica::L2normalize

(

const std::vector< TDataType > &

inputVector

)

Normalize a vector based on its L2 norm.

Parameters

inputVector

The vector to normalize

Returns

The normalized vector

References cbica::L2normalize().

Referenced by cbica::L2normalize().

VectorizeImages() [1/3]

cv::Mat cbica::VectorizeImages	(	const std::vector< std::vector< typename TImageType::Pointer > >	inputSubjectsAndImages,
		const std::vector< typename TImageType::Pointer >	maskImages,
		const bool	columnMajor,
		const bool	appendInputImagesFromSubjects,
		const bool	maskDefinedPerSubject
	)

Vectorizes a set of images.

Parameters

inputSubjectsAndImages	The subjects and images which are to be vectorized
maskImages	The masks to be used for the input images
columnMajor	If true, image intensities are converted to column vectors; otherwise they are converted to row vectors; and then they are concatinated
appendInputImagesFromSubjects	If true, concatenate all image voxels together in a single column/row
maskDefinedPerSubject	If true, the mask is defined on a per-subject basis instead of per-modality

Returns

An OpenCV Mat: size is [inputSubjectsAndImages[i][j]->GetLargestPossibleRegion().GetSize(), inputSubjectsAndImages[j].size()] if columnMajor is true; transpose otherwise

References cbica::VectorizeImages().

Referenced by cbica::VectorizeImages().

VectorizeImages() [2/3]

cv::Mat cbica::VectorizeImages	(	const std::vector< std::vector< typename TImageType::Pointer > >	inputSubjectsAndImages,
		const std::vector< std::vector< typename TImageType::IndexType > >	maskIndeces,
		const bool	appendInputImagesFromSubjects = false,
		const bool	columnMajor = false,
		const bool	maskDefinedPerSubject = false
	)

Vectorizes a set of images.

Parameters

inputSubjectsAndImages	The subjects and images which are to be vectorized
maskIndeces	The mask indeces to be used for the input images
columnMajor	If true, image intensities are converted to column vectors; otherwise they are converted to row vectors; and then they are concatinated
appendInputImagesFromSubjects	If true, concatenate all image voxels together in a single column/row
maskDefinedPerSubject	If true, the mask is defined on a per-subject basis instead of per-modality

Returns

An OpenCV Mat: size is [inputSubjectsAndImages[i][j]->GetLargestPossibleRegion().GetSize(), inputSubjectsAndImages[j].size()] if columnMajor is true; transpose otherwise

References cbica::VectorizeImages().

VectorizeImages() [3/3]

cv::Mat cbica::VectorizeImages	(	const std::vector< std::vector< typename TImageType::Pointer > >	inputSubjectsAndImages,
		const bool	columnMajor = false,
		const bool	appendInputImagesFromSubjects = false
	)

Vectorizes a set of images.

Parameters

inputSubjectsAndImages	The images which are to be vectorized
columnMajor	If true, image intensities are converted to column vectors; otherwise they are converted to row vectors; and then they are concatinated
appendInputImagesFromSubjects	If true, concatenate all image voxels together in a single column/row

Returns

An OpenCV Mat: size is [inputSubjectsAndImages[i]->GetLargestPossibleRegion().GetSize(), inputSubjectsAndImages.size()] if columnMajor is true; transpose otherwise

References cbica::VectorizeImages().