Equations for 3D Haralick Texture Feature

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== Equations for 3D Haralick Texture Feature ==
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==Notation==
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  --<math>p(i,j)</math>: (i,j)th entry in a normalized gray-tone spatial dependence matrix, <math>p(i,j)= P(i,j)/R</math>
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    * <math>P(i,j)</math> is the co-occurrence matrix and ''R'' is the sum of values in it, thus <math>P(i,j)</math> can be  considered as the joint distribution
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    of ''i'' and ''j'', which are gray levels of the original image. The value of entry p(i,j) is supposed to be very small due to the
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    large size of the co-occurrence matrix.
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    --<math>p_x(i)/p_y(i)</math>: ''i''th entry in the marginal-probability distribution matrix obtained by summing the rows/columns of <math>p(i,j)</math>.
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    --<math>N_g</math>: Number of distinct gray levels in the image.
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    --<math>p_{x+y}(k)</math>: <math> p_{x+y}(k) = \sum_i x</math>:

Revision as of 02:26, 27 April 2009

Notation

  --p(i,j): (i,j)th entry in a normalized gray-tone spatial dependence matrix, p(i,j) = P(i,j) / R
    * P(i,j) is the co-occurrence matrix and R is the sum of values in it, thus P(i,j) can be  considered as the joint distribution 
    of i and j, which are gray levels of the original image. The value of entry p(i,j) is supposed to be very small due to the 
    large size of the co-occurrence matrix.

   --px(i) / py(i): ith entry in the marginal-probability distribution matrix obtained by summing the rows/columns of p(i,j).

   --Ng: Number of distinct gray levels in the image.

   --px + y(k):
px + y(k) = ∑x
i

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Retrieved from "http://farsight-toolkit.ee.uh.edu/wiki/Equations_for_3D_Haralick_Texture_Feature"
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