Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis

نویسندگان

  • Michael Gadermayr
  • Michael Liedlgruber
  • Andreas Uhl
  • Andreas Vécsei
چکیده

In this work we introduce a curvature based shape feature extraction technique. To construct the proposed descriptor, first an input color channel is subject to edge detection and gradient computations. Then, based on the gradient map and edge map, the local curvature of the contour is computed for each pixel as the angular difference between the maximum and minimum gradient angle within a certain neighborhood. Experiments show, that the feature is competitive as far as the classification rate is concerned. Despite its discriminative power, a further positive aspect is the compactness of the feature vector.

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تاریخ انتشار 2013