1 HISTO_CROSS
        HISTO_CROSS

    Computes the cross histogram of two input  images.   The  result  is  an
    image  of  dimensions  (Number of slots for first image, Number of slots
    for second image) which  represents  the  density  distribution  of  the
    correlation.  The value at a given (I,J) is thus the number of pixels in
    the input images that have the value corresponding  to  slot  I  in  the
    first  image  and  to slot J in the second one.  The output image can be
    used as input to task REGRESSION to evaluate some statistical parameters
    of  the  correlation.   See  also  HISTO_CLOUD  for a slightly different
    information.
2 Z_NAME$
        TASK\FILE "First input image" Z_NAME$

    This is the name of the first image used in the correlation.
2 Z_BIN$
        TASK\INTEGER "Number of histogram bins" Z_BINS$

    This is the number of histogram slots to be used for the first image.
2 Z_MIN$
        TASK\REAL "Minimum value" Z_MIN$

    This is the value of the lower bin used for the first image.
2 Z_MAX$
        TASK\REAL "Maximum value" Z_MAX$

    This is the value of the higher bin used for the first image.
2 Y_NAME$
        TASK\FILE "Second input image" Y_NAME$

    This is the name of the second image used in the correlation.
2 Y_BIN$
        TASK\INTEGER "Number of histogram bins" Y_BINS$

    This is the number of histogram slots to be used for the second image.
2 Y_MIN$
        TASK\REAL "Minimum value" Y_MIN$

    This is the value of the lower bin used for the second image.
2 Y_MAX$
        TASK\REAL "Maximum value" Y_MAX$

    This is the value of the higher bin used for the second image.
2 X_NAME$
        TASK\FILE "Output cross correlation image" X_NAME$

    This is the name of the  output  cross  correlation image.
1 END