+++ /dev/null
-.. _Display_Image:
-
-Display an Image
-*****************
-
-Goal
-=====
-
-In this tutorial you will learn how to:
-
-* Load an image using :imread:`imread <>`
-* Create a named window (using :named_window:`namedWindow <>`)
-* Display an image in an OpenCV window (using :imshow:`imshow <>`)
-
-Code
-=====
-
-Here it is:
-
-.. code-block:: cpp
-
- #include <cv.h>
- #include <highgui.h>
-
- using namespace cv;
-
- int main( int argc, char** argv )
- {
- Mat image;
- image = imread( argv[1], 1 );
-
- if( argc != 2 || !image.data )
- {
- printf( "No image data \n" );
- return -1;
- }
-
- namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
- imshow( "Display Image", image );
-
- waitKey(0);
-
- return 0;
- }
-
-
-Explanation
-============
-
-#. .. code-block:: cpp
-
- #include <cv.h>
- #include <highgui.h>
-
- using namespace cv;
-
- These are OpenCV headers:
-
- * *cv.h* : Main OpenCV functions
- * *highgui.h* : Graphical User Interface (GUI) functions
-
- Now, let's analyze the *main* function:
-
-#. .. code-block:: cpp
-
- Mat image;
-
- We create a Mat object to store the data of the image to load.
-
-#. .. code-block:: cpp
-
- image = imread( argv[1], 1 );
-
- Here, we called the function :imread:`imread <>` which basically loads the image specified by the first argument (in this case *argv[1]*). The second argument is by default.
-
-#. After checking that the image data was loaded correctly, we want to display our image, so we create a window:
-
- .. code-block:: cpp
-
- namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
-
-
- :named_window:`namedWindow <>` receives as arguments the window name ("Display Image") and an additional argument that defines windows properties. In this case **CV_WINDOW_AUTOSIZE** indicates that the window will adopt the size of the image to be displayed.
-
-#. Finally, it is time to show the image, for this we use :imshow:`imshow <>`
-
- .. code-block:: cpp
-
- imshow( "Display Image", image )
-
-#. Finally, we want our window to be displayed until the user presses a key (otherwise the program would end far too quickly):
-
- .. code-block:: cpp
-
- waitKey(0);
-
- We use the :wait_key:`waitKey <>` function, which allow us to wait for a keystroke during a number of milliseconds (determined by the argument). If the argument is zero, then it will wait indefinitely.
-
-Result
-=======
-
-* Compile your code and then run the executable giving a image path as argument:
-
- .. code-block:: bash
-
- ./DisplayImage HappyFish.jpg
-
-* You should get a nice window as the one shown below:
-
- .. image:: images/Display_Image_Tutorial_Result.png
- :alt: Display Image Tutorial - Final Result
- :align: center
--- /dev/null
+.. _FloodFill:
+
+How to fill an image
+**********************
+
+Goal
+=====
+
+In this tutorial you will learn how to:
+
+* Use the :flood_fill:`FloodFill <>` OpenCV function
+
+Cool Theory
+============
+
+.. note::
+ The explanation below belongs to the book **Learning OpenCV** by Bradski and Kaehler.
+
+
+Code
+======
+
+This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Image_Processing/Morphology_1.cpp>`_
+
+.. code-block:: cpp
+
+
+
+Explanation
+=============
+
+
+
+
+Results
+========
+
+
--- /dev/null
+.. _Morphology_2::
+
+Morphology 2
+**************
+
+Goal
+=====
+
+In this tutorial you will learn how to:
+
+* Use the OpenCV function :morphology_ex:`morphologyEx <>` to operate an image and convert it using:
+
+ * Opening
+ * Closing
+ * Morphological Gradient
+ * Top Hat
+ * Black Hat
+
+Cool Theory
+============
+
+.. note::
+ The explanation below belongs to the book **Learning OpenCV** by Bradski and Kaehler.
+
+
+
+Code
+======
+
+This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Image_Processing/Morphology_2.cpp>`_
+
+.. code-block:: cpp
+
+
+
+Explanation
+=============
+
+
+
+Results
+========
+
+
+++ /dev/null
-.. _Linux_Eclipse_Usage:
-
-Using OpenCV with Eclipse (plugin CDT)
-****************************************
-
-.. note::
- For me at least, this works, is simple and quick. Suggestions are welcome
-
-Prerequisites
-===============
-
-#. Having installed `Eclipse <http://www.eclipse.org/>`_ in your workstation (only the CDT plugin for C/C++ is needed). You can follow the following steps:
-
- * Go to the Eclipse site
-
- * Download `Eclipse IDE for C/C++ Developers <http://www.eclipse.org/downloads/packages/eclipse-ide-cc-developers/heliossr2>`_ . Choose the link according to your workstation.
-
-#. Having installed OpenCV. If not yet, go :ref:`here <Linux_Installation>`
-
-Making a project
-=================
-
-#. Start Eclipse. Just run the executable that comes in the folder.
-
-#. Go to **File -> New -> C/C++ Project**
-
- .. image:: images/Eclipse_Tutorial_Screenshot-0.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 0
- :align: center
-
-#. Choose a name for your project (i.e. DisplayImage). An **Empty Project** should be okay for this example.
-
- .. image:: images/Eclipse_Tutorial_Screenshot-1.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 1
- :align: center
-
-#. Leave everything else by default. Press **Finish**.
-
- .. image:: images/Eclipse_Tutorial_Screenshot-2.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 2
- :align: center
-
-#. Your project (in this case DisplayImage) should appear in the **Project Navigator** (usually at the left side of your window).
-
- .. image:: images/Eclipse_Tutorial_Screenshot-3.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 3
- :align: center
-
-
-#. Now, let's add a source file using OpenCV:
-
- * Right click on **DisplayImage** (in the Navigator). **New -> Folder** .
-
- .. image:: images/Eclipse_Tutorial_Screenshot-4.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 4
- :align: center
-
- * Name your folder **src** and then hit **Finish**
-
- .. image:: images/Eclipse_Tutorial_Screenshot-5.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 5
- :align: center
-
- * Right click on your newly created **src** folder. Choose **New source file**:
-
- .. image:: images/Eclipse_Tutorial_Screenshot-6.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 6
- :align: center
-
- * Call it **DisplayImage.cpp**. Hit **Finish**
-
- .. image:: images/Eclipse_Tutorial_Screenshot-7.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 7
- :align: center
-
-#. So, now you have a project with a empty .cpp file. Let's fill it with some sample code (in other words, copy and paste the snippet below):
-
- .. code-block:: cpp
-
- #include <cv.h>
- #include <highgui.h>
-
- using namespace cv;
-
- int main( int argc, char** argv )
- {
- Mat image;
- image = imread( argv[1], 1 );
-
- if( argc != 2 || !image.data )
- {
- printf( "No image data \n" );
- return -1;
- }
-
- namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
- imshow( "Display Image", image );
-
- waitKey(0);
-
- return 0;
- }
-
-#. We are only missing one final step: To tell OpenCV where the OpenCV headers and libraries are. For this, do the following:
-
- * Go to **Project-->Properties**
-
- .. image:: images/Eclipse_Tutorial_Screenshot-8.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 8
- :align: center
-
- * In **C/C++ Build**, click on **Settings**. At the right, choose the **Tool Settings** Tab. Here we will enter the headers and libraries info:
-
- a. In **GCC C++ Compiler**, go to **Includes**. In **Include paths(-l)** you should include the path of the folder where opencv was installed. In our example, this is:
- ::
-
- /usr/local/include/opencv
-
- .. image:: images/Eclipse_Tutorial_Screenshot-9.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 9
- :align: center
-
- .. note::
- If you do not know where your opencv files are, open the **Terminal** and type:
-
- .. code-block:: bash
-
- pkg-config --cflags opencv
-
- For instance, that command gave me this output:
-
- .. code-block:: bash
-
- -I/usr/local/include/opencv -I/usr/local/include
-
-
- b. Now go to **GCC C++ Linker**,there you have to fill two spaces:
-
- * In **Library search path (-L)** you have to write the path to where the opencv libraries reside, in my case the path is:
- ::
-
- /usr/local/lib
-
- * In **Libraries(-l)** add the OpenCV libraries that you may need. Usually just the 3 first on the list below are enough (for simple applications) . In my case, I am putting all of them since I plan to use the whole bunch:
-
-
- * opencv_core
- * opencv_imgproc
- * opencv_highgui
- * opencv_ml
- * opencv_video
- * opencv_features2d
- * opencv_calib3d
- * opencv_objdetect
- * opencv_contrib
- * opencv_legacy
- * opencv_flann
-
- .. image:: images/Eclipse_Tutorial_Screenshot-10.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 10
- :align: center
-
- .. note::
-
- If you don't know where your libraries are (or you are just psychotic and want to make sure the path is fine), type in **Terminal**:
-
- .. code-block:: bash
-
- pkg-config --libs opencv
-
- My output (in case you want to check) was:
-
- .. code-block:: bash
-
- -L/usr/local/lib -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann
-
- Now you are done. Click **OK**
-
- * Your project should be ready to be built. For this, go to **Project->Build all**
-
- .. image:: images/Eclipse_Tutorial_Screenshot-11.png
- :height: 400px
- :alt: Eclipse Tutorial Screenshot 11
- :align: center
-
- In the Console you should get something like
-
- .. image:: images/Eclipse_Tutorial_Screenshot-12.png
- :height: 200px
- :alt: Eclipse Tutorial Screenshot 12
- :align: center
-
- If you check in your folder, there should be an executable there.
-
-Running the executable
-========================
-
-So, now we have an executable ready to run. If we were to use the Terminal, we would probably do something like:
-
-.. code-block:: bash
-
- cd <DisplayImage_directory>
- cd src
- ./DisplayImage ../images/HappyLittleFish.jpg
-
-Assuming that the image to use as the argument would be located in <DisplayImage_directory>/images/HappyLittleFish.jpg. We can still do this, but let's do it from Eclipse:
-
-
-#. Go to **Run->Run Configurations**
-
- .. image:: images/Eclipse_Tutorial_Screenshot-13.png
- :height: 300px
- :alt: Eclipse Tutorial Screenshot 13
- :align: center
-
-#. Under C/C++ Application you will see the name of your executable + Debug (if not, click over C/C++ Application a couple of times). Select the name (in this case **DisplayImage Debug**).
-
-#. Now, in the right side of the window, choose the **Arguments** Tab. Write the path of the image file we want to open (path relative to the workspace/DisplayImage folder). Let's use **HappyLittleFish.jpg**:
-
- .. image:: images/Eclipse_Tutorial_Screenshot-14.png
- :height: 300px
- :alt: Eclipse Tutorial Screenshot 14
- :align: center
-
-#. Click on the **Apply** button and then in Run. An OpenCV window should pop up with the fish image (or whatever you used).
-
- .. image:: images/Eclipse_Tutorial_Screenshot-15.png
- :alt: Eclipse Tutorial Screenshot 15
- :align: center
-
-
-#. Congratulations! You are ready to have fun with OpenCV using Eclipse.
+++ /dev/null
-.. _Linux_GCC_Usage:
-
-Using OpenCV with gcc and CMake
-*********************************
-
-.. note::
- We assume that you have successfully installed OpenCV in your workstation.
-
-The easiest way of using OpenCV in your code is to use `CMake <http://www.cmake.org/>`_. A few advantages (taken from the Wiki):
-
-* No need to change anything when porting between Linux and Windows
-* Can easily be combined with other tools by CMake( i.e. Qt, ITK and VTK )
-
-If you are not familiar with CMake, checkout the `tutorial <http://www.cmake.org/cmake/help/cmake_tutorial.html>`_ on its website.
-
-Steps
-======
-
-Create a program using OpenCV
--------------------------------
-
-Let's use a simple program such as DisplayImage.cpp shown below.
-
-.. code-block:: cpp
-
- #include <cv.h>
- #include <highgui.h>
-
- using namespace cv;
-
- int main( int argc, char** argv )
- {
- Mat image;
- image = imread( argv[1], 1 );
-
- if( argc != 2 || !image.data )
- {
- printf( "No image data \n" );
- return -1;
- }
-
- namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
- imshow( "Display Image", image );
-
- waitKey(0);
-
- return 0;
- }
-
-Create a CMake file
----------------------
-Now you have to create your CMakeLists.txt file. It should look like this:
-
-.. code-block:: cmake
-
- project( DisplayImage )
- find_package( OpenCV REQUIRED )
- add_executable( DisplayImage DisplayImage )
- target_link_libraries( DisplayImage ${OpenCV_LIBS} )
-
-Generate the executable
--------------------------
-This part is easy, just proceed as with any other project using CMake:
-
-.. code-block:: bash
-
- cd <DisplayImage_directory>
- cmake .
- make
-
-Result
---------
-By now you should have an executable (called DisplayImage in this case). You just have to run it giving an image location as an argument, i.e.:
-
-.. code-block:: bash
-
- ./DisplayImage lena.jpg
-
-You should get a nice window as the one shown below:
-
-.. image:: images/GCC_CMake_Example_Tutorial.png
- :alt: Display Image - Lena
- :align: center
-
+++ /dev/null
-.. _Linux_Installation:
-
-Installation in Linux
-***********************
-These steps have been tested for Ubuntu 10.04 but should work with other distros.
-
-Required packages
-==================
-
- * GCC 4.x or later. This can be installed with
-
- .. code-block:: bash
-
- sudo apt-get install build-essential
-
- * CMake 2.6 or higher
- * Subversion (SVN) client
- * GTK+2.x or higher, including headers
- * pkgconfig
- * libpng, zlib, libjpeg, libtiff, libjasper with development files (e.g. libpjeg-dev)
- * Python 2.3 or later with developer packages (e.g. python-dev)
- * SWIG 1.3.30 or later
- * libavcodec
- * libdc1394 2.x
-
-All the libraries above can be installed via Terminal or by using Synaptic Manager
-
-Getting OpenCV source code
-============================
-
-You can use the latest stable OpenCV version available in *sourceforge* or you can grab the latest snapshot from the SVN repository:
-
-Getting the latest stable OpenCV version
-------------------------------------------
-
-* Go to http://sourceforge.net/projects/opencvlibrary
-
-* Download the source tarball and unpack it
-
-
-Getting the cutting-edge OpenCV from SourceForge SVN repository
------------------------------------------------------------------
-
-Launch SVN client and checkout either
-
-a. the current OpenCV snapshot from here: https://code.ros.org/svn/opencv/trunk
-
-#. or the latest tested OpenCV snapshot from here: http://code.ros.org/svn/opencv/tags/latest_tested_snapshot
-
-In Ubuntu it can be done using the following command, e.g.:
-
-.. code-block:: bash
-
- cd ~/<my_working _directory>
- svn co https://code.ros.org/svn/opencv/trunk
-
-
-Building OpenCV from source using CMake, using the command line
-================================================================
-
-#. Create a temporary directory, which we denote as <cmake_binary_dir>, where you want to put the generated Makefiles, project files as well the object filees and output binaries
-
-#. Enter the <cmake_binary_dir> and type
-
- .. code-block:: bash
-
- cmake [<some optional parameters>] <path to the OpenCV source directory>
-
- For example
-
- .. code-block:: bash
-
- cd ~/opencv
- mkdir release
- cd release
- cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX= /usr/local
-
-#. Enter the created temporary directory (<cmake_binary_dir>) and proceed with:
-
- .. code-block:: bash
-
- make
- sudo make install
-
-
+++ /dev/null
-.. _Load_Save_Image:
-
-Load and Save an Image
-***********************
-
-.. note::
-
- We assume that by now you know:
-
- * Load an image using :imread:`imread <>`
- * Display an image in an OpenCV window (using :imshow:`imshow <>`)
-
-Goals
-======
-
-In this tutorial you will learn how to:
-
-* Transform an image from RGB to Grayscale format by using :cvt_color:`cvtColor <>`
-* Save your transformed image in a file on disk (using :imwrite:`imwrite <>`)
-
-Code
-======
-
-Here it is:
-
-.. code-block:: cpp
- :linenos:
-
- #include <cv.h>
- #include <highgui.h>
-
- using namespace cv;
-
- int main( int argc, char** argv )
- {
- char* imageName = argv[1];
-
- Mat image;
- image = imread( imageName, 1 );
-
- if( argc != 2 || !image.data )
- {
- printf( " No image data \n " );
- return -1;
- }
-
- Mat gray_image;
- cvtColor( image, gray_image, CV_RGB2GRAY );
-
- imwrite( "../../images/Gray_Image.png", gray_image );
-
- namedWindow( imageName, CV_WINDOW_AUTOSIZE );
- namedWindow( "Gray image", CV_WINDOW_AUTOSIZE );
-
- imshow( imageName, image );
- imshow( "Gray image", gray_image );
-
- waitKey(0);
-
- return 0;
- }
-
-Explanation
-============
-
-#. We begin by:
-
- * Creating a Mat object to store the image information
- * Load an image using :imread:`imread <>`, located in the path given by *imageName*. Fort this example, assume you are loading a RGB image.
-
-#. Now we are going to convert our image from RGB to Grayscale format. OpenCV has a really nice function to do this kind of transformations:
-
- .. code-block:: cpp
-
- cvtColor( image, gray_image, CV_RGB2GRAY );
-
- As you can see, :cvt_color:`cvtColor <>` takes as arguments:
-
- * a source image (*image*)
- * a destination image (*gray_image*), in which we will save the converted image.
-
- And an additional parameter that indicates what kind of transformation will be performed. In this case we use **CV_RGB2GRAY** (self-explanatory).
-
-#. So now we have our new *gray_image* and want to save it on disk (otherwise it will get lost after the program ends). To save it, we will use a function analagous to :imread:`imread <>`: :imwrite:`imwrite <>`
-
- .. code-block:: cpp
-
- imwrite( "../../images/Gray_Image.png", gray_image );
-
- Which will save our *gray_image* as *Gray_Image.png* in the folder *images* located two levels up of my current location.
-
-#. Finally, let's check out the images. We create 02 windows and use them to show the original image as well as the new one:
-
- .. code-block:: cpp
-
- namedWindow( imageName, CV_WINDOW_AUTOSIZE );
- namedWindow( "Gray image", CV_WINDOW_AUTOSIZE );
-
- imshow( imageName, image );
- imshow( "Gray image", gray_image );
-
-#. Add the usual *waitKey(0)* for the program to wait forever until the user presses a key.
-
-
-Result
-=======
-
-When you run your program you should get something like this:
-
- .. image:: images/Load_Save_Image_Result_1.png
- :alt: Load Save Image Result 1
- :height: 400px
- :align: center
-
-And if you check in your folder (in my case *images*), you should have a newly .png file named *Gray_Image.png*:
-
- .. image:: images/Load_Save_Image_Result_2.png
- :alt: Load Save Image Result 2
- :height: 250px
- :align: center
-
-Congratulations, you are done with this tutorial!
+++ /dev/null
-.. _Windows_Installation:
-
-Installation in Windows
-***********************
-For now this is just a stub article. It will be updated with valuable content as soon as possible. Make sure to check back for it!
\ No newline at end of file
As always, we would be happy to hear your comments and receive your contributions on any tutorial.
-* **INSTALLATION**
+* **INTRO**
* :ref:`Linux_Installation`
- =========== ======================================================
- |Install_1| *Title:* **Installation steps in Linux**
+ =============== ======================================================
+ |Install_Linux| *Title:* **Installation steps in Linux**
- *Compatibility:* > OpenCV 2.0
+ *Compatibility:* > OpenCV 2.0
- We will learn how to setup OpenCV in your computer!
+ We will learn how to setup OpenCV in your computer!
- =========== ======================================================
+ =============== ======================================================
- .. |Install_1| image:: images/ubuntu_logo.jpeg
- :height: 120px
+ .. |Install_Linux| image:: Intro/Linux_Installation/images/ubuntu_logo.jpeg
+ :height: 120px
* :ref:`Windows_Installation`
- =========== ======================================================
- |Install_2| *Title:* **Installation steps in Windows**
+ ================= ======================================================
+ |Install_Windows| *Title:* **Installation steps in Windows**
- *Compatibility:* > OpenCV 2.0
+ *Compatibility:* > OpenCV 2.0
- You will learn how to setup OpenCV in your Windows Operating System!
+ You will learn how to setup OpenCV in your Windows Operating System!
- =========== ======================================================
+ ================= ======================================================
- .. |Install_2| image:: images/windows_logo.jpg
- :height: 120px
+ .. |Install_Windows| image:: Intro/Windows_Installation/images/windows_logo.jpg
+ :height: 120px
-* **USAGE AND COMPILATION**
-
* :ref:`Linux_GCC_Usage`
- =========== ======================================================
- |Usage_1| *Title:* **Using OpenCV with gcc (and CMake)**
+ =================== ======================================================
+ |Usage_Linux_GCC| *Title:* **Using OpenCV with gcc (and CMake)**
- *Compatibility:* > OpenCV 2.0
+ *Compatibility:* > OpenCV 2.0
- We will learn how to compile your first project using gcc and CMake
+ We will learn how to compile your first project using gcc and CMake
- =========== ======================================================
+ =================== ======================================================
- .. |Usage_1| image:: images/gccegg-65-2.png
- :height: 120px
+ .. |Usage_Linux_GCC| image:: Intro/Linux_GCC_Usage/images/gccegg-65-2.png
+ :height: 120px
* :ref:`Linux_Eclipse_Usage`
- =========== ======================================================
- |Usage_2| *Title:* **Using OpenCV with Eclipse (CDT plugin)**
+ ======================= ======================================================
+ |Usage_Linux_Eclipse| *Title:* **Using OpenCV with Eclipse (CDT plugin)**
- *Compatibility:* > OpenCV 2.0
+ *Compatibility:* > OpenCV 2.0
- We will learn how to compile your first project using the Eclipse environment
+ We will learn how to compile your first project using the Eclipse environment
- =========== ======================================================
+ ======================= ======================================================
- .. |Usage_2| image:: images/eclipse_cpp_logo.jpeg
- :height: 120px
+ .. |Usage_Linux_Eclipse| image:: Intro/Linux_Eclipse_Usage/images/eclipse_cpp_logo.jpeg
+ :height: 120px
-* **BEGINNERS SECTION**
* :ref:`Display_Image`
- =============== ======================================================
- |Beginners_1| *Title:* **Display an Image**
+ ================= ======================================================
+ |Display_Image| *Title:* **Display an Image**
- *Compatibility:* > OpenCV 2.0
+ *Compatibility:* > OpenCV 2.0
- We will learn how to display an image using OpenCV
+ We will learn how to display an image using OpenCV
- =============== ======================================================
+ ================= ======================================================
- .. |Beginners_1| image:: images/Display_Image_Tutorial_Result.png
- :height: 150px
+ .. |Display_Image| image:: Intro/Display_Image/images/Display_Image_Tutorial_Result.png
+ :height: 120px
* :ref:`Load_Save_Image`
- =============== ======================================================
- |Beginners_2| *Title:* **Load and save an Image**
+ ================== ======================================================
+ |Load_Save_Image| *Title:* **Load and save an Image**
- *Compatibility:* > OpenCV 2.0
+ *Compatibility:* > OpenCV 2.0
- We will learn how to save an Image in OpenCV...plus a small conversion to grayscale
+ We will learn how to save an Image in OpenCV...plus a small conversion to grayscale
- =============== ======================================================
+ ================== ======================================================
- .. |Beginners_2| image:: images/Load_Save_Image_Result_1.png
- :height: 150px
+ .. |Load_Save_Image| image:: Intro/Load_Save_Image/images/Load_Save_Image_Result_1.png
+ :height: 150px
- * :ref:`Basic_Linear_Transform`
+* **CX CORE**
+
+
+ * :ref:`Drawing_1`
=============== ======================================================
- |Beginners_3| *Title:* **Changing the contrast and brightness of an image**
+ |Drawing_1| *Title:* **Basic Drawing**
*Compatibility:* > OpenCV 2.0
- We will learn how to change our image appearance!
+ We will learn how to draw simple geometry with OpenCV!
=============== ======================================================
- .. |Beginners_3| image:: images/Basic_Linear_Transform_Tutorial_Result_0.png
- :height: 200px
-
+ .. |Drawing_1| image:: CxCore/Matrix/Drawing_1/images/Drawing_1_Tutorial_Result_0.png
+ :height: 200px
- * :ref:`Adding_Images`
+ * :ref:`Drawing_2`
=============== ======================================================
- |Beginners_4| *Title:* **Linear Blending**
+ |Drawing_2| *Title:* **Cool Drawing**
*Compatibility:* > OpenCV 2.0
- We will learn how to blend two images!
+ We will draw some *fancy-looking* stuff using OpenCV!
=============== ======================================================
- .. |Beginners_4| image:: images/Adding_Images_Tutorial_Result_0.png
+ .. |Drawing_2| image:: CxCore/Matrix/Drawing_2/images/Drawing_2_Tutorial_Result_7.png
:height: 200px
- * :ref:`Adding_Trackbars`
- =============== ======================================================
- |Beginners_5| *Title:* **Creating Trackbars**
+* **IMAGE PROCESSING**
- *Compatibility:* > OpenCV 2.0
+ * :ref:`Basic_Linear_Transform`
+
+ ========================== =========================================================
+ |Basic_Linear_Transform| *Title:* **Changing the contrast and brightness of an image**
- We will learn how to add a Trackbar to our applications
+ *Compatibility:* > OpenCV 2.0
+
+ We will learn how to change our image appearance!
- =============== ======================================================
+ ========================== =========================================================
- .. |Beginners_5| image:: images/Adding_Trackbars_Tutorial_Cover.png
- :height: 200px
+ .. |Basic_Linear_Transform| image:: ImgProc/Basic_Linear_Transforms/images/Basic_Linear_Transform_Tutorial_Result_0.png
+ :height: 200px
- * :ref:`Drawing_1`
- =============== ======================================================
- |Beginners_6| *Title:* **Basic Drawing**
+ * :ref:`Adding_Images`
- *Compatibility:* > OpenCV 2.0
+ ================= ======================================================
+ |Adding_Images| *Title:* **Linear Blending**
- We will learn how to draw simple geometry with OpenCV!
+ *Compatibility:* > OpenCV 2.0
+
+ We will learn how to blend two images!
- =============== ======================================================
+ ================= ======================================================
- .. |Beginners_6| image:: images/Drawing_1_Tutorial_Result_0.png
- :height: 200px
+ .. |Adding_Images| image:: ImgProc/Adding_Images/images/Adding_Images_Tutorial_Result_0.png
+ :height: 200px
- * :ref:`Drawing_2`
- =============== ======================================================
- |Beginners_7| *Title:* **Cool Drawing**
+ * :ref:`Adding_Trackbars`
- *Compatibility:* > OpenCV 2.0
+ ==================== ======================================================
+ |Adding_Trackbars| *Title:* **Creating Trackbars**
- We will draw some *fancy-looking* stuff using OpenCV!
+ *Compatibility:* > OpenCV 2.0
+
+ We will learn how to add a Trackbar to our applications
- =============== ======================================================
+ ==================== ======================================================
- .. |Beginners_7| image:: images/Drawing_2_Tutorial_Result_7.png
- :height: 200px
-
+ .. |Adding_Trackbars| image:: HighGUI/Adding_Trackbars/images/Adding_Trackbars_Tutorial_Cover.png
+ :height: 200px
-* **IMAGE PROCESSING**
* :ref:`Smoothing`
===================== ======================================================
- |ImageProcessing_1| *Title:* **Smoothing Images**
+ |Smoothing| *Title:* **Smoothing Images**
*Compatibility:* > OpenCV 2.0
===================== ======================================================
- .. |ImageProcessing_1| image:: images/Smoothing_Tutorial_Cover.png
- :height: 200px
+ .. |Smoothing| image:: ImgProc/Smoothing/images/Smoothing_Tutorial_Cover.png
+ :height: 200px
* :ref:`Morphology_1`
===================== ======================================================
- |ImageProcessing_2| *Title:* **Erosion and Dilation**
+ |Morphology_1| *Title:* **Erosion and Dilation**
*Compatibility:* > OpenCV 2.0
===================== ======================================================
- .. |ImageProcessing_2| image:: images/Morphology_1_Tutorial_Cover.png
- :height: 200px
+ .. |Morphology_1| image:: ImgProc/Morphology_1/images/Morphology_1_Tutorial_Cover.png
+ :height: 200px
+
+
+
projects / profile / ivi / opencv.git / commitdiff
