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Systems and methods for identifying roads in images

  • US 9,547,805 B1
  • Filed: 01/22/2013
  • Issued: 01/17/2017
  • Est. Priority Date: 01/22/2013
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • receiving an image formed from at least one of aerial or satellite imagery data;

    segmenting, via a subdivision engine, the image into at least one fragment having a medial axis and medial radiuses, wherein the medial radiuses correspond to about half the width of the at least one fragment, and wherein the segmenting is based at least in part on at least one pixel feature;

    for each of the at least one fragments, computing a mean medial radius and a standard deviation for the corresponding fragment based on the corresponding medial radiuses;

    determining, using a processor, a road likeness score for each of the at least one fragments based at least in part on the medial radiuses of the corresponding fragment and the computed mean medial radius of the corresponding fragment; and

    identifying roads in the image based at least in part on the road likeness score.

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