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图像的矩

2019-12-08 12:02:05 阅读：202 来源： 互联网

标签：int rng color WINDOW 图像 vContours size

1 矩的计算:moments()函数
Moments moments(InputArray array,bool binaryImage=false)

2 就是轮廓面积:contourArea()函数
double contourArea(InputArray contour,bool oriented=false)

3 计算轮廓长度:arcLength()函数
double arcLength(InputArray curve,bool closed)

//例子

include "opencv2/highgui/highgui.hpp"

include "opencv2/imgproc/imgproc.hpp"

include

using namespace cv;
using namespace std;

//-----------------------------------【宏定义部分】--------------------------------------------
// 描述：定义一些辅助宏
//------------------------------------------------------------------------------------------------

define WINDOW_NAME1 "【原始图】" //为窗口标题定义的宏

define WINDOW_NAME2 "【图像轮廓】" //为窗口标题定义的宏

//-----------------------------------【全局变量声明部分】--------------------------------------
// 描述：全局变量的声明
//-----------------------------------------------------------------------------------------------
Mat g_srcImage; Mat g_grayImage;
int g_nThresh = 100;
int g_nMaxThresh = 255;
RNG g_rng(12345);
Mat g_cannyMat_output;
vector<vector > g_vContours;
vector g_vHierarchy;

//-----------------------------------【全局变量声明部分】--------------------------------------
// 描述：全局变量的声明
//-----------------------------------------------------------------------------------------------
void on_ThreshChange(int, void* );
static void ShowHelpText( );

//-----------------------------------【main( )函数】--------------------------------------------
// 描述：控制台应用程序的入口函数，我们的程序从这里开始执行
//-----------------------------------------------------------------------------------------------
int main( int argc, char** argv )
{
//【0】改变console字体颜色
system("color 9F");

ShowHelpText();
// 读入原图像, 返回3通道图像数据
g_srcImage = imread( "1.jpg", 1 );

// 把原图像转化成灰度图像并进行平滑
cvtColor( g_srcImage, g_grayImage, COLOR_BGR2GRAY );
blur( g_grayImage, g_grayImage, Size(3,3) );

// 创建新窗口
namedWindow( WINDOW_NAME1, WINDOW_AUTOSIZE );
imshow( WINDOW_NAME1, g_srcImage );

//创建滚动条并进行初始化
createTrackbar( " 阈值", WINDOW_NAME1, &g_nThresh, g_nMaxThresh, on_ThreshChange );
on_ThreshChange( 0, 0 );

waitKey(0);
return(0);

}

//-----------------------------------【on_ThreshChange( )函数】-------------------------------
// 描述：回调函数
//-----------------------------------------------------------------------------------------------
void on_ThreshChange(int, void* )
{
// 使用Canndy检测边缘
Canny( g_grayImage, g_cannyMat_output, g_nThresh, g_nThresh*2, 3 );

// 找到轮廓
findContours( g_cannyMat_output, g_vContours, g_vHierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );

// 计算矩
vector<Moments> mu(g_vContours.size() );
for(unsigned int i = 0; i < g_vContours.size(); i++ )
{ mu[i] = moments( g_vContours[i], false ); }

//  计算中心矩
vector<Point2f> mc( g_vContours.size() );
for( unsigned int i = 0; i < g_vContours.size(); i++ )
{ mc[i] = Point2f( static_cast<float>(mu[i].m10/mu[i].m00), static_cast<float>(mu[i].m01/mu[i].m00 )); }

// 绘制轮廓
Mat drawing = Mat::zeros( g_cannyMat_output.size(), CV_8UC3 );
for( unsigned int i = 0; i< g_vContours.size(); i++ )
{
    Scalar color = Scalar( g_rng.uniform(0, 255), g_rng.uniform(0,255), g_rng.uniform(0,255) );//随机生成颜色值
    drawContours( drawing, g_vContours, i, color, 2, 8, g_vHierarchy, 0, Point() );//绘制外层和内层轮廓
    circle( drawing, mc[i], 4, color, -1, 8, 0 );;//绘制圆
}

// 显示到窗口中
namedWindow( WINDOW_NAME2, WINDOW_AUTOSIZE );
imshow( WINDOW_NAME2, drawing );

// 通过m00计算轮廓面积并且和OpenCV函数比较
printf("\t 输出内容: 面积和轮廓长度\n");
for(unsigned  int i = 0; i< g_vContours.size(); i++ )
{
    printf(" >通过m00计算出轮廓[%d]的面积: (M_00) = %.2f \n OpenCV函数计算出的面积=%.2f , 长度: %.2f \n\n", i, mu[i].m00, contourArea(g_vContours[i]), arcLength( g_vContours[i], true ) );
    Scalar color = Scalar( g_rng.uniform(0, 255), g_rng.uniform(0,255), g_rng.uniform(0,255) );
    drawContours( drawing, g_vContours, i, color, 2, 8, g_vHierarchy, 0, Point() );
    circle( drawing, mc[i], 4, color, -1, 8, 0 );
}

}

//-----------------------------------【ShowHelpText( )函数】-----------------------------
// 描述：输出一些帮助信息
//----------------------------------------------------------------------------------------------
void ShowHelpText()
{
//输出欢迎信息和OpenCV版本
printf("\n\n\t\t\t非常感谢购买《OpenCV3编程入门》一书！\n");
printf("\n\n\t\t\t此为本书OpenCV3版的第76个配套示例程序\n");
printf("\n\n\t\t\t 当前使用的OpenCV版本为：" CV_VERSION );
printf("\n\n ----------------------------------------------------------------------------\n");
}

标签：int,rng,color,WINDOW,图像,vContours,size
来源： https://www.cnblogs.com/shuguomeifuguo/p/12005177.html