#include <
opencv2/
opencv.hpp>
#include <iostream>
using namespace std;
using namespace cv;
#define WINDOW_NAME "【程序窗口1】"
//全局变量的声明
Mat g_maskImage, g_srcImage;
Point prevPt(-1,-1);
//全局
函数的声明
static void ShowHelpText
() ;
static void on_Mouse( int event, int x, int y, int flags, void* );
int main( int argc, char** argv ){
//【1】载入原图并显示，初始化掩膜和灰度图
g_srcImage = imread("1.jpg", 1);
imshow( WINDOW_NAME, g_srcImage );
Mat srcImage, grayImage;
g_srcImage.copyTo(srcImage) ;
cvtColor(g_srcImage, g_maskImage, COLOR_BGR2GRAY);
cvtColor (g_maskImage, grayImage, COLOR_GRAY2BGR);
g_maskImage = Scalar::all (0);
//【2】设置鼠标回调
函数
setMouseCallback( WINDOW_NAME, on_Mouse, 0 );
//【3】轮询按键，进行处理
while(1){
//获取键值
int c = waitKey(0);
//若按键键值为 ESC 时，退出
if( (char)c == 27 )
break;
//按键键值为2时，恢复源图
if( (char)c =='2'){
g_maskImage = Scalar::all (0);
srcImage.copyTo(g_srcImage);
imshow( "image", g_srcImage );
}
//若检测到按键值为 1或者空格，则进行处理
if( (char)c =='1' || (char)c==' '){
//定义一些参数
int i, j, compCount = 0;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
//寻找轮廓
findContours (g_maskImage, contours, hierarchy, COLOR_RETR_CCOMP, COLOR_CHAIN_APPROX_SIMPLE);
//轮廓为空时的处理
if( contours.empty
() )
continue;
//复制掩膜
Mat maskImage (g_maskImage.size
(), CV_32S);
maskImage = Scalar::all(0);
//循环绘制出轮廓
for (int index = 0; index >= 0; index++)
{
drawContours(maskImage,contours,index,Scalar::all(compCount+1),-1,8,hierarchy,INT_MAX);
}
//compCount为零时的处理
if( compCount ==0)continue;
//生成随机颜色
vector<Vec3b> colorTab;
for(i=0; i< compCount; i++ ){
int b =
theRNG().uniform(0, 255);
int g =
theRNG().uniform(0, 255);
int r =
theRNG().uniform(0, 255);
colorTab.push_back (Vec3b ((uchar)b, (uchar)g, (uchar)r));
}
//计算处理时间并输出到窗口中
double dTime = (double)getTickCount
();
watershed( srcImage, maskImage );
dTime = (double)getTickCount
() - dTime;
printf("\t处理时间= gms\n",dTime*1000./getTickFrequency
());
//双层循环，将分水岭图像遍历存入 watershedImage 中
Mat watershedImage (maskImage.size
(), CV_8UC3);
for ( i = 0; i < maskImage.rows; i++ )
for( j - 0; j < maskImage.cols; j++ ){
int index = maskImage.at<int>(i, j) ;
if( index ==-1 )
watershedImage.at<Vec3b> (i, j) =
Vec3b(255, 255, 255);
else if( index <=0 || index > compCount )
watershedImage.at<Vec3b>(i, j) = Vec3b(0, 0,0);
else
watershedImage.at<Vec3b>(i, j) - colorTab[index -
1];
}
//混合灰度图和分水岭效果图并显示最终的窗口
watershedImage = watershedImage*0.5 + grayImage*0.5;
imshow ( "watershed transform", watershedImage );
}
}
return 0;
}
//鼠标消息回调
函数
static void on_Mouse( int event, int x, int y, int flags, void* ){
//处理鼠标不在窗口中的情况
if(x<0 || x >= g_srcImage.cols || y < 0 || y >= g_srcImage.rows )
return;
//处理鼠标左键相关消息
if( event == EVENT_LBUTTONUP || !(flags & EVENT_FLAG_LBUTTON) )
prevPt = Point(-1, -1) ;
else if( event == EVENT_LBUTTONDOWN )
prevPt = Point(x, y);
//鼠标左键按下并移动，绘制出白色线条
else if( event == EVENT_MOUSEMOVE && (flags & EVENT_FLAG_LBUTTON)){
Point pt(x, y);
if( prevPt.x < 0 )
prevPt = pt;
line( g_maskImage, prevPt, pt, Scalar::all(255), 5, 8, 0 );
line( g_srcImage, prevPt, pt, Scalar::all(255), 5, 8, 0 );
prevPt =pt;
imshow(WINDOW_NAME, g_srcImage);
}
}
openCV4
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