OpenCV wrapper for Efficient Graph-Based Image Segmentation algorithm developed by Pedro F. Felzenszwalb and Daniel P. Huttenlocher. This is done as a part of my report about using the Efficient Graph-Based Image segmentation method to detect roads from Bing maps.
- My project report here on Github
- Efficient Graph-Based Image Segmentation algorithm (implementation of the algorithm) (I recommend reading the paper)
- Salik Syed - C and IplImage wrapper for OpenCV
This program is tested to work on Ubuntu 16.04.2 LTS with cmake from Ubuntu repository and OpenCV compiled from source with Qt support.
# General Ubuntu OS update
sudo apt-get update
sudo apt-get upgrade
# Install some required applications (1GB+)
# Depending on what features you want you can remove some of this, e.g. texlive
sudo apt-get install build-essential libgtk2.0-dev libjpeg-dev libtiff5-dev \
libjasper-dev libopenexr-dev cmake python-dev python-numpy python-tk libtbb-dev \
libeigen3-dev yasm libfaac-dev libopencore-amrnb-dev libopencore-amrwb-dev \
libtheora-dev libvorbis-dev libxvidcore-dev libx264-dev libqt4-dev \
libqt4-opengl-dev sphinx-common texlive-latex-extra libv4l-dev libdc1394-22-dev \
libavcodec-dev libavformat-dev libswscale-dev default-jdk ant libvtk5-qt4-dev
# Download and compile OpenCV
git clone https://github.com/Itseez/opencv
git checkout -b temp_branch 2.4.9
mkdir build
cd build
# Configure OpenCV build settings
# Some of this can be removed depending on what features you want
cmake -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D \
INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D \
WITH_QT=ON -D WITH_OPENGL=ON -D WITH_VTK=ON ../
# Use "make -j4" to use 4 threads when compiling but can cause gcc internal errors
# when compiling OpenCV
make
sudo make install
# Configure OpenCV
sudo vim /etc/ld.so.conf.d/opencv.conf
Add "/usr/local/lib" to the possibly empty file.
sudo ldconfig
sudo gedit /etc/bash.bashrc
# Add the following to the bash.bashrc file:
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH
Reboot your computer (logout and login is probably enough)
Use same procedure as described below for tag v2.0.0
The root directory in this version has an example using the OpenCV wrapper inside main.cpp. To build and run it do the following:
**To build**
cd <project_root_directory>/
mkdir build
cd build/
cmake ../
make
**To run**
./main ../images/lulea1.ppm
This will open the OpenCV highgui/Qt interface for two images. The original in color and a segmentet image in the other one. The segmentet image can be save using the "Save" trackbar.
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