📄 cxmean.cpp
字号:
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// 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,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "_cxcore.h"
#include <float.h>
/****************************************************************************************\
* Mean value over the region *
\****************************************************************************************/
#define ICV_MEAN_CASE_C1( len ) \
for( ; x <= (len) - 2; x += 2 ) \
{ \
if( mask[x] ) \
s0 += src[x], pix++; \
if( mask[x+1] ) \
s0 += src[x+1], pix++; \
} \
\
for( ; x < (len); x++ ) \
if( mask[x] ) \
s0 += src[x], pix++
#define ICV_MEAN_CASE_C2( len ) \
for( ; x < (len); x++ ) \
if( mask[x] ) \
{ \
s0 += src[x*2]; \
s1 += src[x*2+1]; \
pix++; \
}
#define ICV_MEAN_CASE_C3( len ) \
for( ; x < (len); x++ ) \
if( mask[x] ) \
{ \
s0 += src[x*3]; \
s1 += src[x*3+1]; \
s2 += src[x*3+2]; \
pix++; \
}
#define ICV_MEAN_CASE_C4( len ) \
for( ; x < (len); x++ ) \
if( mask[x] ) \
{ \
s0 += src[x*4]; \
s1 += src[x*4+1]; \
s2 += src[x*4+2]; \
s3 += src[x*4+3]; \
pix++; \
}
#define ICV_MEAN_COI_CASE( len, cn ) \
for( ; x <= (len) - 2; x += 2 ) \
{ \
if( mask[x] ) \
s0 += src[x*(cn)], pix++; \
if( mask[x+1] ) \
s0+=src[(x+1)*(cn)], pix++; \
} \
\
for( ; x < (len); x++ ) \
if( mask[x] ) \
s0 += src[x*(cn)], pix++;
////////////////////////////////////// entry macros //////////////////////////////////////
#define ICV_MEAN_ENTRY_COMMON() \
int pix = 0; \
step /= sizeof(src[0])
#define ICV_MEAN_ENTRY_C1( sumtype ) \
sumtype s0 = 0; \
ICV_MEAN_ENTRY_COMMON()
#define ICV_MEAN_ENTRY_C2( sumtype ) \
sumtype s0 = 0, s1 = 0; \
ICV_MEAN_ENTRY_COMMON()
#define ICV_MEAN_ENTRY_C3( sumtype ) \
sumtype s0 = 0, s1 = 0, s2 = 0; \
ICV_MEAN_ENTRY_COMMON()
#define ICV_MEAN_ENTRY_C4( sumtype ) \
sumtype s0 = 0, s1 = 0, s2 = 0, s3 = 0; \
ICV_MEAN_ENTRY_COMMON()
#define ICV_MEAN_ENTRY_BLOCK_COMMON( block_size ) \
int remaining = block_size; \
ICV_MEAN_ENTRY_COMMON()
#define ICV_MEAN_ENTRY_BLOCK_C1( sumtype, worktype, block_size )\
sumtype sum0 = 0; \
worktype s0 = 0; \
ICV_MEAN_ENTRY_BLOCK_COMMON( block_size )
#define ICV_MEAN_ENTRY_BLOCK_C2( sumtype, worktype, block_size )\
sumtype sum0 = 0, sum1 = 0; \
worktype s0 = 0, s1 = 0; \
ICV_MEAN_ENTRY_BLOCK_COMMON( block_size )
#define ICV_MEAN_ENTRY_BLOCK_C3( sumtype, worktype, block_size )\
sumtype sum0 = 0, sum1 = 0, sum2 = 0; \
worktype s0 = 0, s1 = 0, s2 = 0; \
ICV_MEAN_ENTRY_BLOCK_COMMON( block_size )
#define ICV_MEAN_ENTRY_BLOCK_C4( sumtype, worktype, block_size )\
sumtype sum0 = 0, sum1 = 0, sum2 = 0, sum3 = 0; \
worktype s0 = 0, s1 = 0, s2 = 0, s3 = 0; \
ICV_MEAN_ENTRY_BLOCK_COMMON( block_size )
/////////////////////////////////////// exit macros //////////////////////////////////////
#define ICV_MEAN_EXIT_COMMON() \
double scale = pix ? 1./pix : 0
#define ICV_MEAN_EXIT_C1( tmp ) \
ICV_MEAN_EXIT_COMMON(); \
mean[0] = scale*(double)tmp##0
#define ICV_MEAN_EXIT_C2( tmp ) \
ICV_MEAN_EXIT_COMMON(); \
double t0 = scale*(double)tmp##0; \
double t1 = scale*(double)tmp##1; \
mean[0] = t0; \
mean[1] = t1
#define ICV_MEAN_EXIT_C3( tmp ) \
ICV_MEAN_EXIT_COMMON(); \
double t0 = scale*(double)tmp##0; \
double t1 = scale*(double)tmp##1; \
double t2 = scale*(double)tmp##2; \
mean[0] = t0; \
mean[1] = t1; \
mean[2] = t2
#define ICV_MEAN_EXIT_C4( tmp ) \
ICV_MEAN_EXIT_COMMON(); \
double t0 = scale*(double)tmp##0; \
double t1 = scale*(double)tmp##1; \
mean[0] = t0; \
mean[1] = t1; \
t0 = scale*(double)tmp##2; \
t1 = scale*(double)tmp##3; \
mean[2] = t0; \
mean[3] = t1
#define ICV_MEAN_EXIT_BLOCK_C1() \
sum0 += s0; \
ICV_MEAN_EXIT_C1( sum )
#define ICV_MEAN_EXIT_BLOCK_C2() \
sum0 += s0; sum1 += s1; \
ICV_MEAN_EXIT_C2( sum )
#define ICV_MEAN_EXIT_BLOCK_C3() \
sum0 += s0; sum1 += s1; \
sum2 += s2; \
ICV_MEAN_EXIT_C3( sum )
#define ICV_MEAN_EXIT_BLOCK_C4() \
sum0 += s0; sum1 += s1; \
sum2 += s2; sum3 += s3; \
ICV_MEAN_EXIT_C4( sum )
////////////////////////////////////// update macros /////////////////////////////////////
#define ICV_MEAN_UPDATE_COMMON( block_size )\
remaining = block_size
#define ICV_MEAN_UPDATE_C1( block_size ) \
ICV_MEAN_UPDATE_COMMON( block_size ); \
sum0 += s0; \
s0 = 0
#define ICV_MEAN_UPDATE_C2( block_size ) \
ICV_MEAN_UPDATE_COMMON( block_size ); \
sum0 += s0; sum1 += s1; \
s0 = s1 = 0
#define ICV_MEAN_UPDATE_C3( block_size ) \
ICV_MEAN_UPDATE_COMMON( block_size ); \
sum0 += s0; sum1 += s1; sum2 += s2; \
s0 = s1 = s2 = 0
#define ICV_MEAN_UPDATE_C4( block_size ) \
ICV_MEAN_UPDATE_COMMON( block_size ); \
sum0 += s0; sum1 += s1; \
sum2 += s2; sum3 += s3; \
s0 = s1 = s2 = s3 = 0
#define ICV_IMPL_MEAN_BLOCK_FUNC_2D( flavor, cn, \
arrtype, sumtype, worktype, block_size ) \
IPCVAPI_IMPL( CvStatus, icvMean_##flavor##_C##cn##MR, \
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -