Function Index
	ConcurrenceMatrix ConcurrenceMatrix[img, v] returns an estimate of the joint probability distribution of pixels in the range given by {Min[img], Max[img]}, with a step size of 1, and separated by vector v. ConcurrenceMatrix[img, v, {min, max, d }] returns an estimate of the joint probability distribution of pixels with values in the range given by {min, max, d}, and separated by vector v. ConcurrenceMatrix returns a matrix of dimensions n × n, where . The step size d in the range specification may be omitted. Range specification {min, max} is equivalent to {min, max, 1}. The argument img may be a list or ImageData expression. See also User's Guide 3.3. Modified in Version 2. Example This loads the package. In[1]:= This reads an example image. In[2]:= In order to reduce the dimensions of the concurrence matrix, we will reduce the luminance resolution to 16 levels. Here is a view of the quantized data. In[3]:= This calculates the concurrence matrices for two different image subregions. In[4]:= In[5]:=