Fast Hsv Image Segmentation (FHIS) Library is an OpenCV based C++ adaptation of the original Matlab code designed for performing an accurate segmentation in real-time. FHIS creates a simple representation of the image by using the Delaunay triangulation. A HSV threshold is used in order to find similar triangles, obtaining an accurate segmented image. FHIS exploits OpenCV 2 and CGAL functions. The library is based on the work [1] realized by Camillo Taylor and Anthony Cowley of University of Pennsylvania.
FHIS requires the following packeges to build:
- OpenCV (< 3.0)
- CGal
AT works under Linux and Mac Os environments. We recommend a so-called out of source build which can be achieved by the following command sequence:
- mkdir build
- cd build
- cmake ../
- make -j<number-of-cores+1>
Once the build phase has been successfully, you can use FGHISby launching the fhis file, located in the bin folder.
For more information, you can visit the following link: here.