cvmean.cpp.svn-base
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SVN-BASE
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
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// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
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//M*/
#include "_cv.h"
#include <float.h>
/****************************************************************************************\
* Mean value over the region *
\****************************************************************************************/
#define ICV_IMPL_MEAN_1D_CASE_C1( _mask_op_, acctype, src, mask, len, sum, pix ) \
{ \
int i; \
acctype s1 = 0; \
\
for( i = 0; i <= (len) - 4; i += 4 ) \
{ \
int m = ((mask)[i] == 0) - 1; \
acctype s; \
\
s = _mask_op_(m,(src)[i]); \
(pix) -= m; \
\
m = ((mask)[i + 1] == 0) - 1; \
s += _mask_op_(m,(src)[i + 1]); \
(pix) -= m; \
\
m = ((mask)[i + 2] == 0) - 1; \
s += _mask_op_(m,(src)[i + 2]); \
(pix) -= m; \
\
m = ((mask)[i + 3] == 0) - 1; \
(sum)[0] += s + _mask_op_(m,(src)[i + 3]); \
(pix) -= m; \
} \
\
for( ; i < (len); i++ ) \
{ \
int m = ((mask)[i] == 0) - 1; \
\
s1 += _mask_op_(m,(src)[i]); \
(pix) -= m; \
} \
\
(sum)[0] += s1; \
}
#define ICV_IMPL_MEAN_1D_CASE_COI( _mask_op_, acctype, src, mask, len, sum, pix, cn ) \
{ \
int i; \
acctype s1 = 0; \
\
for( i = 0; i <= (len) - 4; i += 4 ) \
{ \
int m = ((mask)[i] == 0) - 1; \
acctype s; \
\
s = _mask_op_( m, (src)[i*(cn)]); \
(pix) -= m; \
\
m = ((mask)[i + 1] == 0) - 1; \
s += _mask_op_( m, (src)[(i + 1)*(cn)]); \
(pix) -= m; \
\
m = ((mask)[i + 2] == 0) - 1; \
s += _mask_op_( m, (src)[(i + 2)*(cn)]); \
(pix) -= m; \
\
m = ((mask)[i + 3] == 0) - 1; \
(sum)[0] += s + _mask_op_( m, (src)[(i + 3)*(cn)]); \
(pix) -= m; \
} \
\
for( ; i < (len); i++ ) \
{ \
int m = ((mask)[i] == 0) - 1; \
\
s1 += _mask_op_( m, (src)[i*(cn)]); \
(pix) -= m; \
} \
\
(sum)[0] += s1; \
}
#define ICV_IMPL_MEAN_1D_CASE_C2( _mask_op_, acctype, src, mask, len, sum, pix ) \
{ \
int i; \
\
for( i = 0; i <= (len) - 2; i += 2 ) \
{ \
int m = ((mask)[i] == 0) - 1; \
\
(sum)[0] += _mask_op_( m, (src)[i*2]); \
(sum)[1] += _mask_op_( m, (src)[i*2 + 1]); \
(pix) -= m; \
\
m = ((mask)[i + 1] == 0) - 1; \
(sum)[0] += _mask_op_( m, (src)[i*2 + 2]); \
(sum)[1] += _mask_op_( m, (src)[i*2 + 3]); \
(pix) -= m; \
} \
\
for( ; i < (len); i++ ) \
{ \
int m = ((mask)[i] == 0) - 1; \
\
(sum)[0] += _mask_op_( m, (src)[i*2]); \
(sum)[1] += _mask_op_( m, (src)[i*2 + 1]); \
(pix) -= m; \
} \
}
#define ICV_IMPL_MEAN_1D_CASE_C3( _mask_op_, acctype, src, mask, len, sum, pix ) \
{ \
int i; \
\
for( i = 0; i < (len); i++ ) \
{ \
int m = ((mask)[i] == 0) - 1; \
\
(sum)[0] += _mask_op_( m, (src)[i*3]); \
(sum)[1] += _mask_op_( m, (src)[i*3 + 1]); \
(sum)[2] += _mask_op_( m, (src)[i*3 + 2]); \
(pix) -= m; \
} \
}
#define ICV_IMPL_MEAN_1D_CASE_C4( _mask_op_, acctype, src, mask, len, sum, pix ) \
{ \
int i; \
\
for( i = 0; i < (len); i++ ) \
{ \
int m = ((mask)[i] == 0) - 1; \
\
(sum)[0] += _mask_op_( m, (src)[i*4]); \
(sum)[1] += _mask_op_( m, (src)[i*4 + 1]); \
(sum)[2] += _mask_op_( m, (src)[i*4 + 2]); \
(sum)[3] += _mask_op_( m, (src)[i*4 + 3]); \
(pix) -= m; \
} \
}
#define ICV_MEAN_ENTRY( sumtype ) \
sumtype sum[4] = {0,0,0,0}; \
int pix = 0
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