Last Projects

Image Segmentation Using Multi-Region Active Contours

Chen Shapira and Tamir Segev

Supervised by Anastasia Dubrovina


Our project focused on the Multi-region Active Contours with a single Level-Set function method. This method allows quick & accurate image segmentation on 2d and 3d images. This is done by dividing the image into multiple regions by calculating a single nonnegative distance function, which is easily extracted using the Voronoi Implicit Interface Method.

Pictures / Flash

Project Report

Please, see project report.

Final Presentation

Please, see final presentation.

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