opencv去除小区域的连通区域

#include "opencv.hpp"

#include "iostream"

using namespace std;

using namespace cv;

 

int main()

{

Mat srcImage, grayImage, dstImage,imgHSVMask;

int size = 800; //面积因子

//srcImage = imread("");

/*imshow("原图", srcImage);

cvtColor(srcImage, grayImage, COLOR_RGB2GRAY);

threshold(grayImage, dstImage, 100, 255, THRESH_BINARY);

imshow("二值图", dstImage);*/

 

Mat img = imread("");

cvtColor(img, grayImage, COLOR_RGB2GRAY);

threshold(grayImage, imgHSVMask, 100, 255, THRESH_BINARY);

//imshow("原图", imgHSVMask);

 

Mat element = getStructuringElement(MORPH_RECT, Size(3, 3)); //针对高亮部分

erode(imgHSVMask, imgHSVMask, element);

imshow("腐蚀", imgHSVMask);

 

// 提取连通区域，并剔除小面积联通区域

vector<vector<Point>> contours; //二值图像轮廓的容器

vector<Vec4i> hierarchy; //4个int向量，分别表示后、前、父、子的索引编号

findContours(imgHSVMask, contours, hierarchy,RETR_LIST, CHAIN_APPROX_NONE); //检测所有轮廓

//(remove_if((), (),[](const vector<Point>& c) {return contourArea(c) < 800; }), ()); // 删除元素

// 显示图像并保存

/*(0);

drawContours(imgHSVMask, contours, -1, Scalar(255), FILLED);

imshow("处理图", imgHSVMask); */

 

Mat ImageContours = Mat::zeros((), CV_8UC1); //绘制

Mat ImgContours= Mat::zeros((), CV_8UC1);

 

vector<vector<Point>>::iterator k; //迭代器，访问容器数据

 

for (k = (); k != ();) //遍历容器,设置面积因子

{

if (contourArea(*k, false) < size)

{//删除指定元素，返回指向删除元素下一个元素位置的迭代器

k = (k);

}

else

++k;

}

 

//contours[i]代表第i个轮廓，contours[i].size()代表第i个轮廓上所有的像素点

for (int i = 0; i < (); i++)

{

for (int j = 0; j < contours[i].size(); j++)

{

//获取轮廓上点的坐标

Point P = Point(contours[i][j].x, contours[i][j].y);

<uchar>(P) = 255;

}

drawContours(ImageContours, contours,i, Scalar(255), -1, 8);

}

 

imshow("轮廓", ImageContours);

imshow("轮廓点集合", ImgContours);

waitKey(0);

return 0;

}