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2.1.0

The release includes new features, API changes, documentation updates and bug fixes. This is the first SimpleITK release to provide binaries for the new Apple M1 ARM.


Installing SimpleITK

Complete instructions on getting started with SimpleITK including downloading binaries or building SimpleITK can be found on the SimpleITK [Read the Docs web page](https://simpleitk.readthedocs.io/en/master/installation.html).

Python Binary Downloads

Python binary wheels are available for download from PyPI. It is important to have the latest version of pip for correct wheel compatibility and installation. To install the latest SimpleITK package:


python -m pip install --upgrade pip
python -m pip install SimpleITK


Apple M1 ARMv8 Support

Wheels with the platform tag "macxos-11_0_arm64" are available from PyPI, to provide initial support for the Apple M1 Silicon for Python 3.8 and 3.9.

Anaconda Binary Downloads

SimpleITK packages are available for _conda_ Python package manager as a monolithic package:


conda install -c simpleitk simpleitk


or integrated into the _coda-forge_ package dependencies:


conda install simpleitk --channel conda-forge





Release Notes
============

API Changes
-----------

* Add `Image::getBufferAsByteBuffer` to Java interface, returns a type specific instance of `java.nio.Buffer`.
* In Java add `GetBufferAsNativePointer` to Image class.
* Add `Image::GetSizeOfPixelComponent` method.
* Add `N4BiasFieldCorrectionImageFilter::GetLogBiasFieldAsImage` method.
* Ignore constant `Image::GetBufferAs...` methods, in wrapped languages.


New Features
------------

* Update ITK superbuild version to v5.2.0.
* Add new `ComposeScaleSkewVersor3DTransform` class.
* In Python, add support for ellipsis ("...") indexing to the `Image` class.
* In Python, add class dictionary like interface for the `Image`'s meta-data dictionary. This includes implementations for `__delitem__`, `__contains__`, and `__getitem__` with a string parameter.
* Updating style in examples using modern Python, moving from 2.7 to 3.6+.
* Add 4D ( and higher ) support for `PermuteImageFilter`.
* New `LoggerBase` and `ITKLogger` classes to interface and override ITK's output messages.
* Add output pixel type parameter to `ShiftScaleImageFilter`, to support arbitrary type conversion with intensity scaling.
* Add `sitkUInt8` mask image support to `MaskNegatedImageFilter`
* Enable the ITKIOTransformMINC module for xfm transform files
* Add `ImageRegistrationMethod::StopRegistration` method
* Add `StopRegistration` method to Demons based registration filters
* Update `HistogramMatchingImageFilter` to use named "referenceImage" input for second input image.

Bug Fixes
---------

* Set the default ITK multi-threader to "Platform" in Superbuild. This addressed issues with multi-processing and the Google Colaboratory environment.
* Update expected results for Linux ppc64le in test ImageRegistrationMethodDisplacement1 and SLICImageFilter.
* The `GetPixelAsComplexFloat64` Image method in Python is correctly renamed to `__GetPixelAsComplexFloat64__`.
* R calls to nonexistent methods are now handled gracefully
* In `BinaryMagnitudeImageFilter` test, changed type from UInt32 to Int32 for defined C++ behavior, fixed Mac ARM testing failure.



Documentation
-------------
* Add TCL, Ruby, Lua, R, Java, and C languages for the Image and Transform IO example and documentation.
* Add "Image Registration Optimizer Weights" example illustrating usage of optimizer weights.
* Document details on naming conventions and object oriented, procedural interfaces.
* Document importance of registration initialization and center of rotation docs.
* Document ComposeScaleSkewVersorTransform in Sphinx overviews.
* Fix broken link in filters list.
* Add "IO Selection" examples for CSharp, C++, Java, Lua, Ruby and TCL.
* Add example illustrating how to override ITK's messages with Python's logging module.
* Separate the GetPixel example into dynamic and statically typed languages.
* Update N4 example to use bias field at input resolution
* Update `ImageViewer::SetApplication` docs.* Minor grammar and spelling changes to gettingStarted
* Improve documentation for [registration sampling strategies](https://simpleitk.readthedocs.io/en/master/registrationOverview.html#sampling)
* Add example demonstration [Java Image buffer interface](https://simpleitk.readthedocs.io/en/master/link_JavaGetSetBuffer_docs.html)
* Add multiple language [examples for ImageIOSelection](https://simpleitk.readthedocs.io/en/master/link_ImageIOSelection_docs.html)
* Added a [Windows build page](https://simpleitk.readthedocs.io/en/master/buildingWindows.html)


Compilation
-----------

* CMake use "Ruby" find package. The CMake variable related to Ruby changed from "RUBY" prefix to "Ruby".
* Add test to echo CMakeCache.txt
* Replace virtualenv with venv
* Install wheel package to venv for packaging
* Use STEP_TARGETS option over EP Add_Step_Targets command
* Suppress MSVC getenv security warning.
* Set CMake Policy version to 3.10 in Superbuild
* Run HelloWorld examples when testing
* Fix comparison between signed and unsigned integer compiler warning
* Remove explicit instantiating of Image of deque of LabelObjectLine
* Update SWIG to 4 require in CMake find_package

2.1rc2

Announcement

Announcing the SimpleITK 2.1 Release Candidate 2!

Users and developers are encouraged to test the RC before the final release and report issues, bugs, and any compatibility problems.

Installing SimpleITK

Complete instructions on getting started with SimpleITK including downloading binaries or building SimpleITK can be found on the SimpleITK [Read the Docs web page](https://simpleitk.readthedocs.io/en/master/installation.html).

Python Binary Downloads

- Python binary wheels are available for download. It is important to have the latest version of pip for correct wheel compatibility and installation. To install the latest SimpleITK package from GitHub releases:

python -m pip install --upgrade pip
python -m pip install --pre SimpleITK --find-links https://github.com/SimpleITK/SimpleITK/releases/tag/v2.1rc2

Anaconda Binary Downloads

Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:

conda install -c simpleitk/label/dev simpleitk




Release Notes
============


New Features
------------

* Add `ImageRegistrationMethod::StopRegistration` method
* Add `StopRegistration` method to Demons based registration filters
* Update `HistogramMatchingImageFilter` to use named "referenceImage" input for second input image.


Bug Fixes
---------

* R calls to nonexistent methods are now handled gracefully
* In `BinaryMagnitudeImageFilter` test, changed type from UInt32 to Int32 for defined C++ behavior, fixed Mac ARM testing failure.



Documentation
-------------

* Minor grammar and spelling changes to gettingStarted
* Improve documentation for [registration sampling strategies](https://simpleitk.readthedocs.io/en/master/registrationOverview.html#sampling)
* Add example demonstration [Java Image buffer interface](https://simpleitk.readthedocs.io/en/master/link_JavaGetSetBuffer_docs.html)
* Add multiple language [examples for ImageIOSelection](https://simpleitk.readthedocs.io/en/master/link_ImageIOSelection_docs.html)
* Added a [Windows build page](https://simpleitk.readthedocs.io/en/master/buildingWindows.html)



Compilation
-----------

* Fix comparison between signed and unsigned integer compiler warning
* Remove explicit instantiating of Image of deque of LabelObjectLine
* Update SWIG to 4 require in CMake find_package

2.1rc1

Announcement

Announcing the SimpleITK 2.1 Release Candidate 1!

Users and developers are encouraged to test the RC before the final release and report issues, bugs, and any compatibility problems.

Installing SimpleITK

Complete instructions on getting started with SimpleITK including downloading binaries or building SimpleITK can be found on the SimpleITK [Read the Docs web page](https://simpleitk.readthedocs.io/en/master/installation.html).

Python Binary Downloads

- Python binary wheels are available for download. It is important to have the latest version of pip for correct wheel compatibility and installation. To install the latest SimpleITK package from GitHub releases:

python -m pip install --upgrade pip
python -m pip install --pre SimpleITK --find-links https://github.com/SimpleITK/SimpleITK/releases/tag/v2.1rc1

Anaconda Binary Downloads

Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:

conda install -c simpleitk/label/dev simpleitk


Apple M1 ARM Support

SimpleITK v2.1rc1 has been successfully compiled and tested on Apple OS X running native M1 ARM. Thanks to the ITK development team for providing the foundation.

For the v2.1 .0 final release, we are currently only planning to release M1 ARM binaries for the [conda-forge](https://github.com/conda-forge/simpleitk-feedstock) distribution.


Release Notes
============

API Changes
-----------

* Add `Image::getBufferAsByteBuffer` to Java interface, returns a type specific instance of `java.nio.Buffer`.
* In Java add `GetBufferAsNativePointer` to Image class.
* Add `Image::GetSizeOfPixelComponent` method.
* Add `N4BiasFieldCorrectionImageFilter::GetLogBiasFieldAsImage` method.
* Ignore constant `Image::GetBufferAs...` methods, in wrapped languages.


New Features
------------

* Update ITK superbuild version to v5.2.0.
* Add new `ComposeScaleSkewVersor3DTransform` class.
* In Python, add support for ellipsis ("...") indexing to the `Image` class.
* In Python, add class dictionary like interface for the `Image`'s meta-data dictionary. This includes implementations for `__delitem__`, `__contains__`, and `__getitem__` with a string parameter.
* Updating style in examples using modern Python, moving from 2.7 to 3.6+.
* Add 4D ( and higher ) support for `PermuteImageFilter`.
* New `LoggerBase` and `ITKLogger` classes to interface and override ITK's output messages.
* Add output pixel type parameter to `ShiftScaleImageFilter`, to support arbitrary type conversion with intensity scaling.
* Add `sitkUInt8` mask image support to `MaskNegatedImageFilter`
* Enable the ITKIOTransformMINC module for xfm transform files

Bug Fixes
---------

* Set the default ITK multi-threader to "Platform" in Superbuild. This addresssed issues with multi-processing and the Google Colaborratory environment.
* Update expected results for Linux ppc64le in test ImageRegistrationMethodDisplacement1 and SLICImageFilter.
* The `GetPixelAsComplexFloat64` Image method in Python is correctly renamed to `__GetPixelAsComplexFloat64__`.



Documentation
-------------
* Add TCL, Ruby, Lua, R, Java, and C languages for the Image and Transform IO example and documentation.
* Add "Image Registration Optimizer Weights" example illustrating usage of optimizer weights.
* Document details on naming conventions and object oriented, procedural interfaces.
* Document importance of registration initialization and center of rotation docs.
* Document ComposeScaleSkewVersorTransform in Sphinx overviews.
* Fix broken link in filters list.
* Add "IO Selection" examples for CSharp, C++, Java, Lua, Ruby and TCL.
* Add example illustrating how to override ITK's messages with Python's logging module.
* Separate the GetPixel example into dynamic and statically typed languages.
* Update N4 example to use bias field at input resolution
* Update `ImageViewer::SetApplication` docs.


Compilation
-----------

* CMake use "Ruby" find package. The CMake variable related to Ruby changed from "RUBY" prefix to "Ruby".
* Add test to echo CMakeCache.txt
* Replace virtualenv with venv
* Install wheel package to venv for packaging
* Use STEP_TARGETS option over EP Add_Step_Targets command
* Suppress MSVC getenv security warning.
* Set CMake Policy version to 3.10 in Superbuild
* Run HelloWorld examples when testing

2.0.2

Announcement

SimpleITK 2.0.2 has been released! The release provides minor patches for the 2.0 release to address bugs.

Additionally Python 3.9 is supported and "manylinux2010" wheels are provided. This addresses interoperability with other "manylinux2010" wheels reported in some environments [1252].



Installing SimpleITK

Complete instructions on getting started with SimpleITK including downloading binaries or building SimpleITK can be found on the SimpleITK [Read the Docs web page](https://simpleitk.readthedocs.io/en/master/gettingStarted.html).

Python Binary Downloads

- Python binary wheels are available for download from PyPI. It is important to have the latest version of pip for correct wheel compatibility and installation. To install the latest SimpleITK package:

python -m pip install --upgrade pip
python -m pip install SimpleITK


Anaconda Binary Downloads

Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:


conda install -c simple simpleitk


To learn more about SimpleITK go to [simpleitk.org](https://simpleitk.org/).


Bug Fixes
---------

- Fix return type for C to IntPtr for `Image::GetBufferAsVoid`, `Image::GetBufferAsUInt64` and `Image::GetBufferAsInt64` methods.
- Updated ITK to version 5.1.2
- Added Python 3.9 and manylinux2010 wheels with build scripts from 0da8a2.

2.0.1

Announcement

SimpleITK 2.0.1 has been released! The release provides minor patches for the 2.0 release to address bugs.



Installing SimpleITK

Complete instructions on getting started with SimpleITK including downloading binaries or building SimpleITK can be found on the SimpleITK [Read the Docs web page](https://simpleitk.readthedocs.io/en/master/gettingStarted.html).

Python Binary Downloads

- Python binary wheels are available for download from PyPI. It is important to have the latest version of pip for correct wheel compatibility and installation. To install the latest SimpleITK package:

python -m pip install --upgrade pip
python -m pip install SimpleITK


Anaconda Binary Downloads

Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:


conda install -c simple simpleitk


To learn more about SimpleITK go to [simpleitk.org](https://simpleitk.org/).


Bug Fixes
---------

- Update ITK version along 5.1 release branch
- Fix SignedMaurerDistanceMap divide by zero error (1213)
- Fix Python packaging description field content type (1202)
- Fix symbol conflict with importing `tensorflow` (1208, 1192)

2.0

* [Migration Guide](https://simpleitk.readthedocs.io/en/master/migrationGuide2.0.html)
* [Doxygen API Documentation](https://simpleitk.org/doxygen/v2_0/html/)
* [Sphinx Documentation](https://simpleitk.readthedocs.io/en/v2.0.0/)
* [Github Release](https://github.com/SimpleITK/SimpleITK/releases/tag/v2.0.0)


To learn more about SimpleITK go to [simpleitk.org](https://simpleitk.org/).

Highlights

* Now using ITK version 5.1 with all the new improvements from ITKv5!
* 5D `Image` support for improved support of time series, and multi-channel images commonly used in microscopy.
- The default and distributed configurations now support image dimensions from 2 to 5 dimensions. The following filters are also instantiated in 4 and 5 dimensions: `ExtractImageFilter`, `JoinSeriesImageFilter`, `PasteImageFilter`, `HashImageFilter`, `ImageFileReader`, `ImageFileWriter`, `ImageSeriesWriter`.
* Python's Image class has improved set item for assignment operations with a slice indexed sub-region on the left hand side. Also assignment of a constant value to a sub-region is supported.
- Please see the [Slice by Slice](https://simpleitk.readthedocs.io/en/master/link_SliceBySliceDecorator_docs.html) example for details.
* Python pickling of `Image` and `Transform` classes. Please note this is designed for operations such as interprocess communications; the standard ITK IO formats should be used as portable storage formats.
* The `Show` procedure calls the `ImageViewer` class interface which utilizes the class's defaults and configuration.
* Modernization of C++ code base with C++11, and clang tidy
* In C++, temporary images or Rvalue References as arguments automatically enable filters to execute "in-place".
- Please see the [In Place](https://simpleitk.readthedocs.io/en/master/link_CppInPlace_docs.html) example for details.



Release Notes

API and Compatibility Changes
-----------------------------

* The environment variables related to the `Show` procedure are only checked once. The `Show` method now is a wrapper for the `ImageViewer` class, and the behavior changed. The `SITK_SHOW_EXTENSION` and `SITK_SHOW_COMMAND` environment variables if defined initialize the corresponding global defaults *only* the first time accessed. The environment variables `SITK_COLOR_COMMAND` and `SITK_SHOW_3D_COMMAND` are removed as the `ImageViewer` class allows for direct configuration of the command.


* Remove from *all* filters the `Execute` method with filter parameters as arguments. The `Execute` method with the input images remains.
* Remove `AddTrialPoints` and `ClearTrialPoints` methods from `FastMarchingImageFilter` due to consolidation of code generation templates.
* With Java wrapped `Vector` types whose C++ element type is an unsigned integer, the wrapped element type changed to the next larger Java signed integer type ( see 618d89 ).
* Removed procedural methods taking scalar radius from the following ( see 444f9a ):
- BinaryClosingByReconstruction
- BinaryDilate
- BinaryErode
- BinaryMorphologicalClosing
- BinaryMorphologicalOpening
- BinaryOpeningByReconstruction
- BlackTopHat
- ClosingByReconstruction
- DilateObjectMorphology
- ErodeObjectMorphology
- GrayscaleDilate
- GrayscaleErode
- GrayscaleMorphologicalClosing
- GrayscaleMorphologicalOpening
- MorphologicalGradient
- OpeningByReconstruction
- WhiteTopHat
* Dropped Python 3.4 support due to end of life.
* Remove the `sitk::ImageFilter` template parameter because it is no longer utilized.
* The Python installation command using `setup.py` changed with the location of `setup.py`. To install see updated Sphinx documentation.
* Remove `Transform::AddTransform` and `Transform::FlattenTransform` methods. Use the `CompositeTransform` class.



New Features
------------

* Rewrote `Show` to use `ImageViewer` class.
* For ImageViewer add user's Application folder to search path.

* Use `NPasteImageFilter` from the SimpleITKFilters remote ITK module to replace `PasteImageFilter`.
* Add to SimpleITK's `PasteImageFilter`:
- `DestinationSkipAxes` parameter
- Support for pasting lower dimension to higher dimension image e.g 2D slice into 3D volume
- Ability to use a constant value as input instead of image
* Add method to `ImageFileReader::GetImageIOFromFileName` get the ITK ImageIO automatically used for file.

* Update superbuild Swig version to 4.0.2. SWIG >= 4 is now required.
* Update ITK version to 5.1.1.
* Disable ITK 4 legacy behaviors.

* Add `SignedDanielssonDistanceMapImageFilter::GetVoronoiMap` method.
* Add wrapping for `CannySegmentationLevelSetImageFilter`.
* Update levelset segmentation filters to support named inputs.
* Add 4D support to`SliceImageFilter` and to the Python slice indexing.
* Add complex pixel support to `Image::GetBufferAs...` methods.
* Add wrapping for `BinaryPruningImageFilter`.
* Add per label measurements to `LabelOverlapMeasuresImageFilter`.
* `ResampleImageFilter` add option to use nearest neighbor extrapolation.
* Add `ReturnBinMidPoint` parameter to `OtsuThresholdImageFilter`. Defaults to false which may change results.
* Add support to specify compression level and compression algorithm to `ImageFileWriter` and `ImageSeriesWriter` classes.
* `BSplineTransform` Python support construction and `SetCoefficientImage` with list-like series of Images.
* `MeanImageFilter` directly filters vector images, improving performance.
* Add to `LabelShapeStatisticsImageFilter` per label method `GetIndexes` and `GetRLEIndexes`.
* Add `Image::IsUnique` method.
* Add wrapping for `DICOMOrientImageFilter`.
* Add complex pixel type support to `GetBufferAs` methods.
* Improve checking and error messages when `Image` inputs require the dimensions, sizes or pixel types to match.
* Add `LevelSetMotionRegistrationImageFilter::InitialDisplacementField` method.
* Refactor of the template code generation system to enable numerous new features and C++ style enhancements.
* Add boolean `in_place` field to all JSON filter descriptions.
* Add C++ automatic "in place" ITK filter execution with r-value image input.
* Add C++ `Image` operators with automatic in-place filter execution with r-value `Image` classes.
* Use native SWIG/R enumeration support.
* Add named filter inputs to morphological reconstruction image filters.
* Replace the CMake configuration option of "SimpleITK_4D_IMAGE" with "SimpleITK_MAX_DIMENSION"
* Default configuration now include 5D Image support.
* The following filters support up to "SimpleITK_MAX_DIMENSION":
- ExtractImageFilter
- JoinSeriesImageFilter
- PasteImageFilter
- HashImageFilter
- ImageFileReader
- ImageFileWriter and ImageSeriesWriter
* Refactored MemberFunctionFactory's hashing function.
* Add `ExtractImageFilter` support to extract an abitrary dimension e.g. 3D image from 5D image.
* Add `sitkScaleVersor` enum.
* Add `Transform::GetTransfromEnum` method.
* Add `CompositeTransform` class.
* Update to ITKv5 threading model behaviors for the following `ProcessObject` methods:
- `SetGlobalDefaultThreader` and `GetGlobalDefaultThreader`
- `SetGlobalDefaultNumberOfThreads` and `GetGlobalDefaultNumberOfThreads`
- `SetNumberOfWorkUnits` and `GetNumberOfWorkUnits`


Python

* Add custom Python procedures for `DiscreteGaussian`, `SmoothingRecursiveGaussian`, `ReadImage` and `WriteImage` to support keyword arguments.
* Add to the `WriteImage` Python procedure the keyword only arguments `imageIO` and `compressor`.
* Add Python `__setitem__` for [] operator support:
- assignment constant to a sliced indexed region
- assignment of lower dimension image to matching sliced indexed region
* Add Python support for complex pixels to `GetArrayFromImage`, `GetImageFromArray` and `GetArrayViewFromImage` methods.
* Add Python deepcopy support to `Image` class, ensuring the copy is unique with lazy copying implementation.
* Add Python pickling support for `Image` and `Transform` classes.
* Add Python keyword argument support for `Resample` procedure.
* Improve Python `Image` class's in-place operators to use C++ in-place operators.
* Improve Python keyword arguments for procedural methods due to removal of overloaded methods.
* Add Python slice indexing for arbitrary dimension extracting.
* Add Python `__setitem__` support for assigning sub-regions via the PasteImageFilter.
* Refactor Python SWIG code to separate classes and add Python code as modules.
* Add Python `Transform.Downcast` method.
* Applied PEP 8 style to Python examples.

CSharp

* Add C constant image buffer access methods of the form `GetConstBufferAs...`.



Bug Fixes
---------

* Fix the `ImageRegistrationMethod` exception to use `GetPixelIDTypeAsString`
* Update `ndarray.tostring` to `tobyte` ( `tostring` deprecated in numpy 1.19.0 )

* Add missing deepcopy implementation for Image with RLE "Label" pixel types.
* Fixed Python pickling for missed transform classes.
* Refactored `GetImageFromVector` method to retain reference to original container with a command object. Fixing image buffer aliasing with `BSplineTransform` and `DisplacementFieldTransform`.
* Make `TranslationTransform` conversion constructor explicit.
* Remove implicit conversion from `Image` to `Transform` class.

* Update `StatisticsImageFilter` input convention for ITKv5.
* Remove `WarpImageFilter` matching image size requirement.
* The results of the `LiThresholdImageFilter` changes with ITK, baseline test results were updated. ( See ITK commit e3ce37 for details. )
* Add additional baseline images for registration results, due to change in ImageRegistration's smoothing algorithm. ( See ITK commit 569a47 for details. )
* Correct `LabelShapeStatistics` baseline for `OrientedBoundingBoxVertices` results. ( See ITK commit 50c695 for details. )
* Fix potential double memory free of pixel container in results from internal image to vector image conversions.
* Fix `RelabelComponentImageFilter` incorrect object size computation with sorting enabled. ( See ITK commit 162101 for details. )
* Fix potential ITK pipeline execution error when a filter execute on a vector image by per component.
* Add C++11 move semantics support to the Image class.
* Add direct support for C++11 lambda command to the `ProcessObject` class.
* Add `GetBufferAsVoid` method to the Image class.
* Add `Decay` parameter to the `MirrorPadImageFilter`.



Documentation
-------------

* Update doc strings for Python and JAVA from JSON filter descriptions.
* Update examples to use slice based assignment instead of `PasteImageFilter`.
* Update the tutorials page.
* Update FAQ.
* Improve `WriteImage` Doxygen documentation.
* Update RTD `Show` procedure documentation.
* Add custom HTML Doxygen header with dynamic timestamp insertion, and privacy policy.
* Add procedural example to IO page.
* Updating the main Doxygen page.


* Update Sphinx filter list.
* Add example for reading raw image files.
* Add DICOM series writing example with floating point pixels.
* Add FAQ entry for the differences between ITK and SimpleITK.
* Rename Sphinx "installation" page to "getting started".
* Update examples from using scalar radius to vector.
* Use Doxygen interactive SVG output, and enable client side MathJax for Latex rendering.
* Add C++ CMake example for using SimpleITK.
* Update examples to use `CompositeTransform`.


* Update copyright to NumFOCUS.
* Add casting to N4BiasFieldCorrection example.
* Typo fixes.
* Create Docker images for generating Doxygen.
* Add C `ConnectedThresholdSegmentation` example.
* Remove references to next branch in documentation.
* Update R installation instructions.
* Add C `ImageReistrationMethod2` example.
* Add multi-lingual examples for `FastMarchingSegmentationImageFilter`.
* Uset stopping time parameter in `FastMarchingSegmentation` examples.
* Add C `CannySegmentationLevelSetImageFilter` example.
* Improve documentation to `GetImageFromArray` about `isVector` parameter.
* Update referenced tutorials.
* Add acknowledgment section to readme.
* Update Java and CSharp installation instructions.
* Move Doxygen pages to Sphinx documents, remove other out dated pages.
* Move Sphinx documentation to docs directory.


Compilation
-----------

* Address signed to unsigned comparison compiler warnings.
* Fix `PYTHON_EXECUTABLE` being undefined in CMake for Doxygen.
* Add Doxygen MathJAX URL as CMake option.

* Continue to address compilation warnings.
* Pin Sphinx version for Read-The-Docs.
* Remove EXPORT specification for static member function declaration.
* Support pass TBB_DIR to ITK in the Superbuild.

* Require C++11 standard for compilation.
* Replace C++ tr1 usage with standard C++11 classes.
* Replace compiler depended defines with C++11 keywords.
* Prefer using C++11 lambda over `std::bind` when `std::placeholders` are not needed.
* Improve support on OSX for isysroot flag and `CMAKE_OSX_SYSROOT` variable.
* Support additional `CMAKE_GENERATOR_*`, `CMAKE_VS_PLATFORM_TOOLSET_*` variables is superbuild.
* Added AWS S3 buckets for data mirroring.
* Use SHA512 hash files as index for downloaded source code.
* Use CMake for creating zip archives.
* Improve finding of Lua interpreter.
* Update Lua superbuild version to 5.3.5, require Lua version 5.2 or 5.3 for code generation.
* Update PCRE superbuild version to 8.43.
* Add `USE_CCACHE` cmake option to automatically use ccache as launcher if available.
* Enable GNU gold linker by default if available.
* Update GTest vesrion to 1.10.0 in superbuild.
* Fix incorrect version of virtualenv detected.


Miscellaneous
-------------

* Update SimpleITK logo.
* Test the `ImageViewer` class and `Show` procedure.
* Update and add more testing for Python `ImageRead` and `ImageWrite` procedures.
* Prefer using absolute imports in Python.
* Updates to manylinux Dockerfile including updating CMake and openssl versions.
* Write testing output with compression enabled.
* Use C++11 `nullptr` over NULL.
* Update classes to use C++11 inline class initializaton.
* Use C++11 default class constructors.
* Use C++11 type alias over typedefs.
* Use clang-tidy to improve code with:
- modernize-redundant-void-arg
- modernize-use-equals-default
- modernize-use-override
- modernize-use-emplace
- readability-container-size-empty
* Continuing updates and improvements to the testing, build and packaging infrastructure.
* Update set parameter methods to use std::vector by value with C++ std::move internally.
* Add CI for running flake8.
* Continuing updates and improvements to the testing, build and packaging infrastructure.
* Add tolerance for testing BSpline domains.
* Update setup for development scripts to support github workflows.
* Add Insight Software Consortium Code of Conduct.
* Archive SHA512 in distributed data archive.
* Disable ITK's automatic advanced architecture compilation settings in packaging builds.

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