Normalized Cuts and Image Segmentation

نویسندگان

  • Baris Sumengen
  • Jelena Tešić
چکیده

Our project work includes the embedding of a normalized cuts algorithm and testing its application for image segmentation. Proposed solution minimizes a graph bi partitioning based on a modified cost function. Final result has a form of partition candidates based on a low-level image description. To increase the stability of the proposed method, algorithm has an iterative form. Computational complexity issues remain unsolved, even though the method performs well for a preprocessing.

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تاریخ انتشار 2003