Opencv实现对象提取与测量

2020-01-26 13:27:23

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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

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

#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;}