Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter
Intelligent scissors is an interactive image segmentation method that allows a user to select piece-wise globally optimal contour segment that correspond to a desired object boundary. However, the intelligent scissors method is too sensitive to a noise or texture patterns on the image. In this paper, we proposed a new intelligent scissors introduced the concept of the separability, in order to improve the extraction ability of object boundary. The effectiveness of the proposed method is confirmed by some computer simulations employing images include weak object boundaries.
