《学习opencv》笔记——矩阵和图像操作——cvAbs,cvAbsDiff and cvAbsDiffS

时间:2023-03-08 18:10:25

矩阵和图像的操作

(1)cvAbs,cvAbsdiff,cvAbsDiffS

它们的结构为:

void cvAbs(  //取src中元素的绝对值,写到dst中
  const CvArr* src,
  const dst
); void cvAbsDiff( //src1减去src2的差的绝对值存入dst
  const CvArr* src1,
  const CvArr* src2,
  const dst
); void cvAbsDiffs( //src中每一个元素减去value存入dst中
  const CvArr* src,
  CvScalar value,
  const dst
_;

使用实例代码:

#include <cv.h>
#include <highgui.h>
#include <cxcore.h>
#include <iostream>
using namespace std;
int main( int argc, char** argv ){
CvMat *mat;
mat=cvCreateMat(4,4,CV_32FC1); float value = 0.0;
int i = 0, j = 0;
cout<<"初始化原始数组"<<endl;
for ( i = 0; i < 4; i ++ ){
for( j = 0; j < 4; j ++ ){ value -= 1.0;
CV_MAT_ELEM( *mat, float, i, j) = value;
}
}
for ( i = 0; i < 4; i ++ ){
for( j = 0; j < 4; j ++ ){ cout<<"\t"<<CV_MAT_ELEM( *mat, float, i, j);
}
cout<<endl;
}
CvMat *matDes; matDes=cvCreateMat(4,4,CV_32FC1); cout<<"目标矩阵"<<endl;
for ( i = 0; i < 4; i ++ ){
for( j = 0; j < 4; j ++ ){
cvmSet( matDes, i, j,0);
cout<<"\t"<<CV_MAT_ELEM( *matDes, float, i, j);
} cout<<endl;
} cvAbs( mat, matDes );
cout<<"数组的绝对值"<<endl;
for ( i = 0; i < 4; i ++ ){
for( j = 0; j < 4; j ++ ){ cout<<"\t"<<CV_MAT_ELEM( *matDes, float, i, j);
} cout<<endl;
} CvMat *matDiff1 = cvCreateMat(4,4,CV_32FC1); cvAbsDiff( mat,matDes , matDiff1);
cout<<"两个差的绝对值"<<endl;
for ( i = 0; i < 4; i ++ ){
for( j = 0; j < 4; j ++ ){ cout<<"\t"<<CV_MAT_ELEM( *matDiff1, float, i, j);
} cout<<endl;
} CvScalar cs;
cs.val[0] = 2.0;
cs.val[1] = 1.0; cvAbsDiffS( mat, matDiff1,cs);
cout<<"矩阵减去标准值的绝对值"<<endl;
for ( i = 0; i < 4; i ++ ){
for( j = 0; j < 4; j ++ ){ cout<<"\t"<<CV_MAT_ELEM( *matDiff1, float, i, j);
} cout<<endl;
}
cvReleaseMat( &mat );
cvReleaseMat( &matDes );
getchar();
return 0;
}

输出结果:

《学习opencv》笔记——矩阵和图像操作——cvAbs,cvAbsDiff and cvAbsDiffS

to be continued