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Methods for adaptive and progressive gradient-based multi-resolution color image segmentation and systems thereof

  • US 8,515,171 B2
  • Filed: 01/11/2010
  • Issued: 08/20/2013
  • Est. Priority Date: 01/09/2009
  • Status: Expired due to Fees
First Claim
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1. A method for image segmentation, the method comprising:

  • performing by an image processing computing device a dyadic wavelet decomposition of an input image with automatic determination of a number of decomposition levels;

    adaptively generating by the image processing computing device gradient thresholds for initial clustering and region processing at different resolution levels of the input image from a gradient histogram obtained from the performed dyadic wavelet decomposition;

    implementing by the image processing computing device progressively thresholded multi-resolution region growth on the initial clustering and dyadic wavelet decomposition of the input image;

    identifying by the image processing computing device transferable regions for multi-resolution information transfer, based on the implemented progressively thresholded multi-resolution region growth and a histogram analysis of gradient information; and

    merging by the image processing computing device the identified regions to provide interim results at arbitrary low resolution levels and a final segmentation map at a dyadic scale equal to that of the input image.

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