FHIS
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.
Requirements
FHIS requires the following packeges to build:
- OpenCV (< 3.0)
- CGal
How to build
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>
How to use
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.