edgeThinning

Zhang-Suen thinning algorithm using OpenCV（C++) wrapped by boost-python for python3.x or python2.x calls.

Introduction

The algorithm is explained in "A fast parallel algorithm for thinning digital patterns" by T.Y. Zhang and C.Y. Suen. This project is based on the work of bsdnoobz and Algomorph. The purpose of the project is due to the python version of the thinning algorithm is too slow, and the C++ version is not flexible enough. In addition, since the Weave library does not provide support for python3.x, So established such a flexible and speed project.

Compiling

• Install Boost library sudo apt-get install libboost-all-dev
• Install cmake sudo apt-get install cmake cmake-gui
• Run CMake and/or CMake-gui with the git repository as the source and a build folder of your choice (in-source builds supported.) Choose desired generator, configure, and generate. Remember to set PYTHON_DESIRED_VERSION to 2.X for python 2 and 3.X for python 3.
• Build (run make on *nix systems with gcc/eclipse CDT generator from within the build folder)
• On *nix systems, make install run with root privileges will install the compiled library file. Alternatively, you can manually copy it to the pythonXX/dist-packages directory (replace XX with desired python version).
• Run python interpreter of your choice, issue

Example

import cv2
import pbcvt
src = cv2.imread('image.png')
cv2.imshow("input", src)
thinned_img = pbcvt.thinning(src)
cv2.imshow('thinning', thinned_img)
cv2.waitKey()