Opencv实现对象提取与测量

本文实例为大家分享了Opencv3实现对象提取与测量的具体代码，供大家参考，具体内容如下

案例背景：下图为一张卫星拍摄的图片，要获取其中岛屿的周长和面积

Opencv实现对象提取与测量

方案思路：高斯模糊去噪，灰度二值化提取轮廓，闭操作填充缝隙或小的孔洞，寻找轮廓，通过轮廓特征选择轮廓

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									#include<opencv2\opencv.hpp>

									using namespace cv;

									using namespace std;

									int main(int arc, char** argv) { 

									 Mat src = imread("1.jpg");

									 namedWindow("input", CV_WINDOW_AUTOSIZE);

									 imshow("input", src);

									 //该高斯模糊去噪

									 GaussianBlur(src, src, Size(15, 15), 0, 0);

									 imshow("output1", src);

									 //灰度二值化

									 Mat gray,binary;

									 cvtColor(src, gray, CV_BGR2GRAY);

									 threshold(gray, binary, 0, 255, THRESH_BINARY | THRESH_TRIANGLE);

									 imshow("output2", binary);

									 //闭操作

									 Mat kernel = getStructuringElement(MORPH_RECT, Size(4, 4));

									 morphologyEx(binary, binary, MORPH_CLOSE, kernel);

									 imshow("output3", binary);

									 //寻找轮廓

									 vector<vector<Point>>contours;

									 Mat draw = Mat::zeros(src.size(), CV_8UC3);

									 findContours(binary, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);

									 for (int i = 0; i < contours.size(); i++) {

									 Rect rect = boundingRect(contours[i]);

									 if (rect.width < src.cols / 2 || rect.height>src.rows-20)continue;//筛选轮廓

									 drawContours(draw, contours, i, Scalar(0, 0, 255), 1);

									 printf("area:%f\n", contourArea(contours[i]));

									 printf("length:%f\n",arcLength(contours[i],true));

									 }

									 imshow("output4", draw);

									 waitKey(0);

									 return 0;

									}