Two Dimensional Model Based Boundary Matching Using

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Two Dimensional Model Based Boundary Matching Using
A Kalvin
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Footprints generated using window sizes of less than 60 discriminate significantly less well. Thus additional footprints generated using a window size of 40 serve primarily as a safety net, which can be used in those cases when there was no match at 60, to avoid searching the entire database. (If no hits are detected with this smaller window size, matching of the current boundary section is simply abandoned. ) Normally such cases arise only for short, featureless boundary segments.
(4) Cube Siz
...e. The length of each side of the cubes into which our footprint parameter space is arbitrarily divided is approximately 1/32 of the total range of footprint values. This divides the total parameter space into roughly 32x10* cubes, of which all but roughly . 1% are empty (on our hundred-model runs). As described above, the cube side length used Page 15 during the matcMng process is twice this, i. E. 1/16 the range of pairameter values.
Other adjustable parameters of our procedure, not pertaining directly to footprints, include the width of the band used for smoothing (2 pixels); the sample step size used to discretize object boundaries for matching (6 pixels); and the concavity threshold value used to find breakpoints (5 degrees).


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