Interactive tool for image segmentation
This Intelligent Scissors were written as a project in the
Systems Lab under the supervision of Prof.
Digital image segmentation techniques are used to extract image components
from their sorrounding natural background and identifying their boundary.
Current solutions for this problem:
Automatic image segmentation tools - these tools are currently researched,
and as far as I know they require many assertions in order to produce
Snakes - this method which is based on Osher and Sethian level set
method require the user to specify the assumed boundary and then it improves
the boundary. Unfortunately the method uses two phases: get boundary from
user.and improve the boundary, which would take some time and if the user
received unacceptable result he/she needs to go over the process again.
The aim of this project was to implement an intelligent
scissors tool, based on a paper of Eric
and William A. Barrett
from Brigham Young University. (see Bibliography
The fundamental technique of this method is to convert the problem to a
graph search problem.
Eric N Mortensen, and William A. Barrett "Intellegent Scissorfro Image
Composition" SIGGRAPH 1995, 191-198.
M Kass, A Witkin, and D Terzopolous. "Snakes: Active contour models". International
Journal of Computer Vision, 1:321-331, 1988
L D Cohen and R Kimmel. "Global Minimum for active contours models: A minimal
path approach" International Journal of Computer Vision", 24(1):57-78,
If you have any questions, comments or bug reports please
contact Ronen Shor