Remove top and bottom for each column Post: 302942115

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LEARN ABOUT OPENSOLARIS

mlib_imagecrosscorrel_fp

mlib_ImageCrossCorrel_Fp(3MLIB) 			    mediaLib Library Functions				   mlib_ImageCrossCorrel_Fp(3MLIB)

NAME

       mlib_ImageCrossCorrel_Fp - cross correlation

SYNOPSIS

       cc [ flag... ] file... -lmlib [ library... ]
       #include <mlib.h>

       mlib_status mlib_ImageCrossCorrel_Fp(mlib_d64 *correl, const mlib_image *img1,
	    const mlib_image *img2);

DESCRIPTION

       The mlib_ImageCrossCorrel_Fp() function computes the cross-correlation between a pair of floating-point images.

       It uses the following equation:

		       1     w-1 h-1
	 correl[i] = ----- * SUM SUM (img1[x][y][i] * img2[x][y][i])
		      w*h    x=0 y=0

       where w and h are the width and height of the images, respectively.

PARAMETERS

       The function takes the following arguments:

       correl	 Pointer  to  cross correlation array on a channel basis. The array must be the size of channels in the images. correl[i] contains
		 the cross-correlation of channel i.

       img1	 Pointer to first image.

       img2	 Pointer to second image.

RETURN VALUES

       The function returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE.

ATTRIBUTES

       See attributes(5) for descriptions of the following attributes:

       +-----------------------------+-----------------------------+
       |      ATTRIBUTE TYPE	     |	    ATTRIBUTE VALUE	   |
       +-----------------------------+-----------------------------+
       |Interface Stability	     |Committed 		   |
       +-----------------------------+-----------------------------+
       |MT-Level		     |MT-Safe			   |
       +-----------------------------+-----------------------------+

SEE ALSO

       mlib_ImageAutoCorrel(3MLIB),	 mlib_ImageAutoCorrel_Fp(3MLIB),      mlib_ImageCrossCorrel(3MLIB),	 mlib_ImageNormCrossCorrel(3MLIB),
       mlib_ImageNormCrossCorrel_Fp(3MLIB), attributes(5)

SunOS 5.11							    2 Mar 2007					   mlib_ImageCrossCorrel_Fp(3MLIB)