Extracting salient curves from images

Software Download Page

For Aim@Shape Members

Department of Computer Science and Applied Mathematics

Weizmann Institute of Science

Description

This software implements the salient curves extraction method based on the paper by Alter and Basri. The Saliency Network proposed by Shashua and Ullman (1988) is a well-known approach to the problem of extracting salient curves from images while performing gap completion. The Saliency Network is attractive for several reasons. First, the network generally prefers long and smooth curves over short or wiggly ones. While computing saliencies, the network also fills in gaps with
smooth completions and tolerates noise. Finally, the network is locally connected, and its size is proportional to the
size of the image.

For the paper click here PDF.

Reference

Alter, T.D., Basri, R. – "Extracting Salient Curves from Images: An Analysis of the Saliency Network" IJCV(27), No. 1, March 1998, pp. 51-69.

A. Shashua and S. Ullman. Structural Saliency: the Detection of Globally Salient Structures Using a Locally Connected Network. In Proc. of the International Conference on Computer   Vision (ICCV), Dec. 1988, Tarpon Springs, Florida. (Available here)

Results sample

                        Input              Saliency map       Most salient curve

 Download

To Download Software click here and for the manual click here.

Acknowledgment

Web page and Linux modifications by :Sharon Alpert