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This guide gives detailed instructions for building SimpleITK on Linux. It is written for beginners getting started with SimpleITK.
{{SimpleITKMigrationHeader}}
 
[[Image: Simpleitk_logo.png‎|center]]
This guide gives detailed instructions for building SimpleITK on Linux. It is written for beginners getting started with SimpleITK.  There are examples of how to develop and execute simple programs in C Sharp and Lua.


== Why Linux? ==
== Why Linux? ==
Line 31: Line 34:
* [http://www.vmware.com/ VMWare]
* [http://www.vmware.com/ VMWare]


If you are a Mac OS X user, you can run also run Linux in a virtual machine.  Two virtual machine environments for OS X are:
If you are a Mac OS X user, you can also run Linux in a virtual machine.  Two virtual machine environments for OS X are:
* [http://www.parallels.com/products/desktop/ Parallels]
* [http://www.parallels.com/products/desktop/ Parallels]
* [http://www.vmware.com/products/fusion/ VMWare Fusion]
* [http://www.vmware.com/products/fusion/ VMWare Fusion]
Line 44: Line 47:


== Step 2: Install build tools ==
== Step 2: Install build tools ==
[[File:SimpleITK_visual_guide_step02_01.png|200px|thumb|Install the build tools by opening the terminal]]
{| valign="top"
The next step is to install the required build tools.
|- valign="top"
| The next step is to install the required build tools.


[[File:SimpleITK_visual_guide_step02_02.png|200px|thumb|In the terminal, use apt-get to install the build tools]]
Open a terminal window (Application Menu > Terminal Emulator) and run the following command:
Open a terminal window (Menu > Terminal) and run the following command:
  sudo apt-get install cmake cmake-curses-gui gcc g++ git
  sudo apt-get install cmake cmake-curses-gui gcc g++ git


Confirm that you want to install the packages (press "y"), then wait for the installation to complete.
Confirm that you want to install the packages (press "y"), then wait for the installation to complete.


[[File:SimpleITK_visual_guide_step02_03.png|200px|thumb|Build tools could also be installed using the software manager]]
Alternatively, you could manually select each software package from the [http://www.nongnu.org/synaptic/ Synaptic Package Manager] (Application Menu > Settings > Synaptic Package Manager).
Alternatively, you could manually select each software package from the Software Manager (Menu > Software Manager).


By default building SimpleITK produces the SimpleITK C++ libraries and the SimpleITK Lua interpreter.  It also supports bindings for other languages.  To build this support, additional packages need to be installed.  The following table shows the supported language bindings and the corresponding command to install the packages required for each language.
By default building SimpleITK produces the SimpleITK [http://en.wikipedia.org/wiki/C%2B%2B C++] libraries and the SimpleITK [http://en.wikipedia.org/wiki/Lua_(programming_language) Lua] interpreter.  It also supports bindings for other languages.  To build this support, additional packages need to be installed.  The following table shows the supported language bindings and the corresponding command to install the additional packages required for each language.


{| class="languagetable"
{| border=1
|-
|-
! Programming Language
! Programming Language
! Command to install the build tools
! Command to install the build tools
|-
|-
| C++ and Lua
| [http://en.wikipedia.org/wiki/C_Sharp_(programming_language) C#]
| sudo apt-get install cmake cmake-curses-gui gcc g++ git
| sudo apt-get install monodevelop
|-
| C#
| sudo apt-get install cmake cmake-curses-gui gcc g++ git monodevelop
|-
|-
| Java
| [http://en.wikipedia.org/wiki/Java_(programming_language) Java]
| sudo apt-get install cmake cmake-curses-gui gcc g++ git eclipse
| sudo apt-get install eclipse
|-
|-
| R
| [http://en.wikipedia.org/wiki/R_programming_language R]
| sudo apt-get install cmake cmake-curses-gui gcc g++ git r-base r-base-dev
| sudo apt-get install r-base r-base-dev
|-
|-
| Ruby
| [http://en.wikipedia.org/wiki/Ruby_(programming_language) Ruby]
| sudo apt-get install cmake cmake-curses-gui gcc g++ git ruby
| sudo apt-get install ruby
|-
|-
| Python
| [http://en.wikipedia.org/wiki/Python_(programming_language) Python]
| sudo apt-get install cmake cmake-curses-gui gcc g++ git python python-dev
| sudo apt-get install python python-dev
|-
|-
| Tcl
| [http://en.wikipedia.org/wiki/Tcl Tcl]
| sudo apt-get install cmake cmake-curses-gui gcc g++ git tcl tcl-dev tk tk-dev
| sudo apt-get install tcl tcl-dev tk tk-dev
|-
|-
| All languages
| All languages
| sudo apt-get install cmake cmake-curses-gui gcc g++ git monodevelop eclipse r-base r-base-dev ruby python python-dev tcl tcl-dev tk tk-dev
| sudo apt-get install monodevelop eclipse r-base r-base-dev ruby python python-dev tcl tcl-dev tk tk-dev
|}
 
|[[File:SimpleITK_visual_guide_step02_01.png|200px|thumb|Install the build tools by opening the terminal]]
[[File:SimpleITK_visual_guide_step02_02.png|200px|thumb|In the terminal, use apt-get to install the build tools]]
[[File:SimpleITK_visual_guide_step02_03.png|200px|thumb|Build tools could also be installed using the software manager]]
|}
|}


== Step 3: Get SimpleITK source code ==
== Step 3: Get SimpleITK source code ==
{|
|
The next step is to get the SimpleITK source code using git.
The next step is to get the SimpleITK source code using git.


Line 94: Line 100:
  cd ~
  cd ~


[[File:SimpleITK_visual_guide_step03_02.png|200px|thumb|Get the SimpleITK source code using <code>git</code>]]
Now download the SimpleITK source code, by entering the following command in the Terminal:
Now download the SimpleITK source code, by entering the following command in the Terminal:
  git clone --recursive  http://itk.org/SimpleITK.git
  git clone --recursive  http://itk.org/SimpleITK.git
Line 100: Line 105:
Now change to the SimpleITK directory:
Now change to the SimpleITK directory:
  cd SimpleITK
  cd SimpleITK
| [[File:SimpleITK_visual_guide_step03_02.png|200px|thumb|Get the SimpleITK source code using <code>git</code>]]
|}


== Step 4: Build SimpleITK ==
== Step 4: Build SimpleITK ==
The next step is to start building.
The next step is to start building.


The recommended way to build is via the so-called "super build":
The recommended way to build is via the so-called "super build". The build directory should not be inside the source tree. I put the build directory in the same directory as the source tree.
  mkdir Build
  cd ~
  cd Build
  mkdir SimpleITK-build
sudo cmake ../SuperBuild
  cd SimpleITK-build
 
  cmake ../SimpleITK/SuperBuild
If you prefer not to build with elevated privileges (i.e. omit <code>sudo</code>) you can firstly install [http://pypi.python.org/pypi/distribute#installation-instructions Python distribute]:
  sudo apt-get install curl
  curl -O http://python-distribute.org/distribute_setup.py
  sudo python distribute_setup.py
and then simply execute CMake:
  cmake ../SuperBuild


The SuperBuild generates make files which takes care of downloading and building ITK, SWIG, and Lua, as well as SimpleITK. On my system, by default, wrappers were generated for C# and Lua.
The SuperBuild generates make files which takes care of downloading and building ITK, SWIG, and Lua, as well as SimpleITK.


To start the (long) build process, type:
To start the (long) build process, type:
  make
  make


On my laptop (Acer Aspire 5755G, Intel® Core™ i7-2630QM CPU @ 2.00GHz × 8, 2GB RAM) the build took about 4 hours.
On my test system, a 4 core virtual machine with 16 GB of RAM, the build took just over an hour.


After the build is finished, you need to add SimpleITK to your <code>LD_LIBRARY_PATH</code>:
After the build is finished, you need to add SimpleITK to your <code>LD_LIBRARY_PATH</code>:
  export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/ITK/SimpleITK/Build/lib
  export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/SimpleITK-build/lib


You can now (optionally) check whether the build was successful:
You can now (optionally) check whether the build was successful:
  cd SimpleITK-build
  cd ~/SimpleITK-build
  ctest
  ctest


Line 133: Line 135:


== Step 5: Use SimpleITK ==
== Step 5: Use SimpleITK ==
=== A simple C# program ===
[[File:SimpleITK_visual_guide_step05_CSharp_01.png|200px|thumb|Open MonoDevelop]]
This section will describe how to create a simple C# application using SimpleITK from MonoDevelop.


Open MonoDevelop (Menu > Programming > MonoDevelop).
SimpleITK is available to a variety of languages.  In this section we give simple example programs demonstrating the SimpleITK API in C Sharp and Lua.


[[File:SimpleITK_visual_guide_step05_CSharp_02.png|200px|thumb|Create Console Project]]
=== A simple C# program ===
Select File > New > Solution.
{|
 
|- valign="top"
Select C# > Console Project. Enter a suitable name e.g. "SimpleITK" and uncheck "Create directory for directory". Select "Forward" and then "OK".
| This sub-section will describe how to create a simple C# application using SimpleITK from MonoDevelop.
 
To start launch the C# development environment, MonoDevelop (Application Menu > Development > MonoDevelop).
[[File:SimpleITK_visual_guide_step05_CSharp_03.png|200px|thumb|Edit References]]
| [[File:SimpleITK_visual_guide_step05_CSharp_01.png|200px|thumb|Open MonoDevelop]]
In the Solution explorer, right-click "Selection" and select "Edit References...".
|-
 
| Then create our new Solution (Select File > New > Solution).
[[File:SimpleITK_visual_guide_step05_CSharp_04.png|200px|thumb|Add SimpleITKCSharpManaged.dll]]
|-
Select the ".Net Assembly" tab, navigate to "~/ITK/SimpleITK/Build/SimpleITK-build/Wrapping/CSharpBinaries", select "SimpleITKCSharpManaged.dll", click "Add", and then close the window by selecting "OK". This will copy "SimpleITKCSharpManaged.dll" to your build directory e.g. "bin/Debug" or "bin/Release". You must also '''manually copy''' "libSimpleITKCSharpNative.so" to your build directories:
|Select a C# console project (C# > Console Project). Enter a suitable name e.g. "sitk" and uncheck "Create directory for directory". Select "Forward" and then "OK".
  mkdir ~/Projects/SimpleITK/bin/Debug
| [[File:SimpleITK_visual_guide_step05_CSharp_02.png|200px|thumb|Create Console Project]]
  mkdir ~/Projects/SimpleITK/bin/Release
|-
  cp ~/ITK/SimpleITK/Build/SimpleITK-build/Wrapping/CSharpBinaries/libSimpleITKCSharpNative.so ~/Projects/SimpleITK/bin/Debug
| In the Solution explorer, right-click "Selection" and select "Edit References...".
  cp ~/ITK/SimpleITK/Build/SimpleITK-build/Wrapping/CSharpBinaries/libSimpleITKCSharpNative.so ~/Projects/SimpleITK/bin/Release
| [[File:SimpleITK_visual_guide_step05_CSharp_03.png|200px|thumb|Edit References]]
|-
| Select the ".Net Assembly" tab, navigate to "~/SimpleITK-build/SimpleITK-build/Wrapping/CSharpBinaries", select "SimpleITKCSharpManaged.dll", click "Add", and then close the window by selecting "OK". This will copy "SimpleITKCSharpManaged.dll" to your build directory e.g. "bin/Debug" or "bin/Release".  
| [[File:SimpleITK_visual_guide_step05_CSharp_04.png|200px|thumb|Add SimpleITKCSharpManaged.dll]]
|-
| You must also '''manually copy''' "libSimpleITKCSharpNative.so" to your build directories:
  mkdir ~/sitk/bin/Debug
  mkdir ~/sitk/bin/Release
  cp ~/SimpleITK-build/SimpleITK-build/Wrapping/CSharpBinaries/libSimpleITKCSharpNative.so ~/sitk/bin/Debug
  cp ~/SimpleITK-build/SimpleITK-build/Wrapping/CSharpBinaries/libSimpleITKCSharpNative.so ~/sitk/bin/Release


SimpleITK has now been added as a project reference.
SimpleITK has now been added as a project reference.
|-
| The following short program creates an image of a Gaussian blob, generates a derivative image from the Gaussian, scales and windows the derivative's intensities, converts the result to 8-bit unsigned ints, and writes out a PNG file:


[[File:SimpleITK_visual_guide_step05_CSharp_05.png|200px|thumb|A simple C# program]]
The following short program reads a file from the SimpleITK testing data, applies a binary threshold, and writes the output to the project binary directory:
  using System;
  using System;
  using System.IO;
  using sitk = itk.simple.SimpleITK;
  using ITK = itk.simple.SimpleITK;
   
namespace itk.simple
{
    class MainClass
    {
        public static void Main (string[] args)
        {
            var size = new VectorUInt32 (new uint[] { 128, 128 });
            var sigma = new VectorDouble (new Double[] { 32.0, 32.0 });
            var center = new VectorDouble (new Double[] { 64.0, 64.0 });
            var gauss = sitk.GaussianSource (PixelIDValueEnum.sitkFloat32, size, sigma, center);
            var deriv = sitk.Cast (128.0 + 24.0 * sitk.Derivative (gauss), PixelIDValueEnum.sitkUInt8);
   
   
namespace SimpleITK {
             sitk.WriteImage (deriv, "gauss-deriv-test.png");
    class MainClass {
        public static void Main (string[] args) {
             string inputFilename = "/home/dan/ITK/SimpleITK/Testing/Data/Input/cthead1.png";
            if (File.Exists(inputFilename)) {
                var input = ITK.ReadImage(inputFilename);
                var binary = ITK.BinaryThreshold(input, 100, 255, 255, 0);
                ITK.WriteImage(binary, "cthead1-binary.png");
            } else {
                Console.WriteLine("File '{0}' does not exist", inputFilename);
            }
         }
         }
     }
     }
  }
  }
| [[File:SimpleITK_visual_guide_step05_CSharp_05.png|200px|thumb|A simple C# program]]
|-
| Note that in the example, the derivative image's intensities are scaled mathematically to illustrate SimpleITK's overloading of the mathematically operators.  The image intensities could also be scaled using SimpleITK's RescaleIntesity function.


To build the project press "F8" or select Build > Build All from the menu.
To build the project press "F8" or select Build > Build All from the menu.
Line 181: Line 195:
To debug the project, add a breakpoint at a desired location and press "F5".
To debug the project, add a breakpoint at a desired location and press "F5".


=== A more complex C# program ===
The Gaussian Derivative image to the right shows the results of the C# example program.
|  [[File:SimpleITK_visual_guide_step05_CSharp_06.png|200px|thumb|Gaussian Derivative image]]
|}


=== Using Lua ===
=== Using Lua ===
[http://www.lua.org/about.html Lua] is a fast, portable, lightweight scripting language that is included with the SimpleITK source code.  Because the entire source code for Lua is less than 600kb, it takes very little space relative to large projects such as SimpleITK.  That makes Lua very popular as an embedded scripting language.
In this SimpleITK/Lua example we show how to use a text editor to produce a SimpleITK example in Lua and execute the program.
[[File:SimpleITK_visual_guide_step05_Lua01.png|200px|thumb|Open Mousepad]]
By default, Debian with the Xfce user interface, comes with '''Mousepad''' (Application Menu > Accessories > Mousepad), a simple text editor.  Other possible editors include '''gedit''' with Gnome or '''kedit''' with KDE.
[[File:SimpleITK_visual_guide_step05_Lua_02.png|200px|thumb|Simple Lua Program]]
The following is a simple Lua example similar to the C# example in the previous section.  This program creates an image of a Gaussian blob, computes a derivative image of the Gaussian, rescales the floating point image to 0-255, casts it to a unsigned char image, and writes the result to a PNG file.
local sitk = {}
sitk = SimpleITK
size = sitk.VectorUInt32();
size:push_back(128);
size:push_back(128);
sigma = sitk.VectorDouble();
sigma:push_back(32.0);
sigma:push_back(32.0);
center = sitk.VectorDouble();
center:push_back(64.0);
center:push_back(64.0);
gauss = sitk.GaussianSource (sitk.sitkFloat32, size, sigma, center);
deriv = sitk.Derivative(gauss);
result = sitk.RescaleIntensity(deriv, 0, 255.0)
result = sitk.Cast(result, sitk.sitkUInt8)
sitk.WriteImage(result, "sitk-lua-test.png");
The script is slightly different than the C# example in that the RescaleIntensity filter is used.  In C# mathematical operators are overloaded for SimpleITK images.  This is not the case for Lua, so mathematical operations on SimpleITK images are a bit more complicated.  Therefore I chose to use a built in filter.
To try out the program, copy the code and paste it into Mousepad.  Then Save it as "DerivativeExample.lua" and enter the following command in a Terminal window.
~/SimpleITK-build/SimpleITK-build/bin/SimpleITKLua DerivativeExample.lua
[[File:SimpleITK_visual_guide_step05_lua_03.png|200px|thumb|Lua Derivative image]]
The Lua Derivative image on the right shows the output of the our SimpleITK Lua example.  The result is similar to, although not the same as the C Sharp produced image.  They are different because the image intensities are not scaled in the same manner.

Latest revision as of 18:17, 13 December 2019

NOTICE
This page is being migrated to Read The Docs!

For the up to date version please see this page!

Simpleitk logo.png

This guide gives detailed instructions for building SimpleITK on Linux. It is written for beginners getting started with SimpleITK. There are examples of how to develop and execute simple programs in C Sharp and Lua.

Why Linux?

  • Linux is freely available
  • It has all the required tools
  • Did I mention it's free?

Step 1: Get Linux

The first step is to install a Linux distribution. Some popular ones are:

And here is a comparison of those distributions.

There are many online tutorials explaining how to install your chosen Linux distribution:

If you are a Windows user, you may consider running Linux on a virtual machine. Some popular virtual machine environments are:

If you are a Mac OS X user, you can also run Linux in a virtual machine. Two virtual machine environments for OS X are:

Again, there are heaps of tutorials:

This guide uses Debian 7, but the steps are very similar for other Linux distributions.

Step 2: Install build tools

The next step is to install the required build tools.

Open a terminal window (Application Menu > Terminal Emulator) and run the following command: 

sudo apt-get install cmake cmake-curses-gui gcc g++ git

Confirm that you want to install the packages (press "y"), then wait for the installation to complete.

Alternatively, you could manually select each software package from the Synaptic Package Manager (Application Menu > Settings > Synaptic Package Manager).

By default building SimpleITK produces the SimpleITK C++ libraries and the SimpleITK Lua interpreter. It also supports bindings for other languages. To build this support, additional packages need to be installed. The following table shows the supported language bindings and the corresponding command to install the additional packages required for each language.

Programming Language Command to install the build tools
C# sudo apt-get install monodevelop
Java sudo apt-get install eclipse
R sudo apt-get install r-base r-base-dev
Ruby sudo apt-get install ruby
Python sudo apt-get install python python-dev
Tcl sudo apt-get install tcl tcl-dev tk tk-dev
All languages sudo apt-get install monodevelop eclipse r-base r-base-dev ruby python python-dev tcl tcl-dev tk tk-dev
Install the build tools by opening the terminal
In the terminal, use apt-get to install the build tools
Build tools could also be installed using the software manager

Step 3: Get SimpleITK source code

The next step is to get the SimpleITK source code using git.

Decide where you want to put the source code. I'm putting mine in my home directory: 

cd ~

Now download the SimpleITK source code, by entering the following command in the Terminal: 

git clone --recursive  http://itk.org/SimpleITK.git

Now change to the SimpleITK directory: 

cd SimpleITK
Get the SimpleITK source code using git

Step 4: Build SimpleITK

The next step is to start building.

The recommended way to build is via the so-called "super build". The build directory should not be inside the source tree. I put the build directory in the same directory as the source tree. 

cd ~
mkdir SimpleITK-build
cd SimpleITK-build
cmake ../SimpleITK/SuperBuild

The SuperBuild generates make files which takes care of downloading and building ITK, SWIG, and Lua, as well as SimpleITK.

To start the (long) build process, type: 

make

On my test system, a 4 core virtual machine with 16 GB of RAM, the build took just over an hour.

After the build is finished, you need to add SimpleITK to your LD_LIBRARY_PATH: 

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/SimpleITK-build/lib

You can now (optionally) check whether the build was successful: 

cd ~/SimpleITK-build
ctest

All (or at least most) of the tests should pass.

Step 5: Use SimpleITK

SimpleITK is available to a variety of languages. In this section we give simple example programs demonstrating the SimpleITK API in C Sharp and Lua.

A simple C# program

This sub-section will describe how to create a simple C# application using SimpleITK from MonoDevelop.

To start launch the C# development environment, MonoDevelop (Application Menu > Development > MonoDevelop).

Open MonoDevelop
Then create our new Solution (Select File > New > Solution).
Select a C# console project (C# > Console Project). Enter a suitable name e.g. "sitk" and uncheck "Create directory for directory". Select "Forward" and then "OK".
Create Console Project
In the Solution explorer, right-click "Selection" and select "Edit References...".
Edit References
Select the ".Net Assembly" tab, navigate to "~/SimpleITK-build/SimpleITK-build/Wrapping/CSharpBinaries", select "SimpleITKCSharpManaged.dll", click "Add", and then close the window by selecting "OK". This will copy "SimpleITKCSharpManaged.dll" to your build directory e.g. "bin/Debug" or "bin/Release".
Add SimpleITKCSharpManaged.dll
You must also manually copy "libSimpleITKCSharpNative.so" to your build directories: 
mkdir ~/sitk/bin/Debug
mkdir ~/sitk/bin/Release
cp ~/SimpleITK-build/SimpleITK-build/Wrapping/CSharpBinaries/libSimpleITKCSharpNative.so ~/sitk/bin/Debug
cp ~/SimpleITK-build/SimpleITK-build/Wrapping/CSharpBinaries/libSimpleITKCSharpNative.so ~/sitk/bin/Release

SimpleITK has now been added as a project reference.

The following short program creates an image of a Gaussian blob, generates a derivative image from the Gaussian, scales and windows the derivative's intensities, converts the result to 8-bit unsigned ints, and writes out a PNG file: 
using System;
using sitk = itk.simple.SimpleITK;

namespace itk.simple
{
    class MainClass
    {
        public static void Main (string[] args)
        {
            var size = new VectorUInt32 (new uint[] { 128, 128 });
            var sigma = new VectorDouble (new Double[] { 32.0, 32.0 });
            var center = new VectorDouble (new Double[] { 64.0, 64.0 });

            var gauss = sitk.GaussianSource (PixelIDValueEnum.sitkFloat32, size, sigma, center);

            var deriv = sitk.Cast (128.0 + 24.0 * sitk.Derivative (gauss), PixelIDValueEnum.sitkUInt8);

            sitk.WriteImage (deriv, "gauss-deriv-test.png");
        }
    }
}
A simple C# program
Note that in the example, the derivative image's intensities are scaled mathematically to illustrate SimpleITK's overloading of the mathematically operators. The image intensities could also be scaled using SimpleITK's RescaleIntesity function.

To build the project press "F8" or select Build > Build All from the menu.

To debug the project, add a breakpoint at a desired location and press "F5".

The Gaussian Derivative image to the right shows the results of the C# example program.

Gaussian Derivative image

Using Lua

Lua is a fast, portable, lightweight scripting language that is included with the SimpleITK source code. Because the entire source code for Lua is less than 600kb, it takes very little space relative to large projects such as SimpleITK. That makes Lua very popular as an embedded scripting language.

In this SimpleITK/Lua example we show how to use a text editor to produce a SimpleITK example in Lua and execute the program.

Open Mousepad

By default, Debian with the Xfce user interface, comes with Mousepad (Application Menu > Accessories > Mousepad), a simple text editor. Other possible editors include gedit with Gnome or kedit with KDE.


Simple Lua Program

The following is a simple Lua example similar to the C# example in the previous section. This program creates an image of a Gaussian blob, computes a derivative image of the Gaussian, rescales the floating point image to 0-255, casts it to a unsigned char image, and writes the result to a PNG file. 

local sitk = {}
sitk = SimpleITK

size = sitk.VectorUInt32();
size:push_back(128);
size:push_back(128);

sigma = sitk.VectorDouble();
sigma:push_back(32.0);
sigma:push_back(32.0);

center = sitk.VectorDouble();
center:push_back(64.0);
center:push_back(64.0);

gauss = sitk.GaussianSource (sitk.sitkFloat32, size, sigma, center);

deriv = sitk.Derivative(gauss);

result = sitk.RescaleIntensity(deriv, 0, 255.0)

result = sitk.Cast(result, sitk.sitkUInt8)

sitk.WriteImage(result, "sitk-lua-test.png");

The script is slightly different than the C# example in that the RescaleIntensity filter is used. In C# mathematical operators are overloaded for SimpleITK images. This is not the case for Lua, so mathematical operations on SimpleITK images are a bit more complicated. Therefore I chose to use a built in filter.

To try out the program, copy the code and paste it into Mousepad. Then Save it as "DerivativeExample.lua" and enter the following command in a Terminal window. 

~/SimpleITK-build/SimpleITK-build/bin/SimpleITKLua DerivativeExample.lua
Lua Derivative image

The Lua Derivative image on the right shows the output of the our SimpleITK Lua example. The result is similar to, although not the same as the C Sharp produced image. They are different because the image intensities are not scaled in the same manner.

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