本文实例为大家分享了OpenCV实现直线检测并消除的具体代码,供大家参考,具体内容如下
很简单,代码如下
?| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
#include<iostream>
#include<opencv.hpp>
using namespace cv;
using namespace std;
int main()
{
Mat img, dst, img_gary, img_bin, temp, r_line, c_line, kernel;
char INPUT[] = "input";
char OUTPUT[] = "output";
char GRAY_IMG[] = "gary image";
char BIN_IMG[] = "binary image";
char DST_IMG[] = "final image";
img = imread("D:\\OpenCV\\images\\demo_test_2.jpg");
if (img.empty())
{
cout << "image loading failed..." << endl;
return -1;
}
namedWindow(INPUT, WINDOW_AUTOSIZE);
imshow(INPUT, img);
cvtColor(img, img_gary, COLOR_BGR2GRAY);
imshow(GRAY_IMG, img_gary);
adaptiveThreshold(~img_gary, img_bin, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, -2);
imshow(BIN_IMG, img_bin);
//水平结构元素
r_line = getStructuringElement(MORPH_RECT, Size(img.cols / 16, 1), Point(-1, -1));
//垂直结构元素
c_line = getStructuringElement(MORPH_RECT, Size(1, img.rows / 16), Point(-1, -1));
kernel = getStructuringElement(MORPH_RECT, Size(4, 4), Point(-1, -1));
erode(img_bin, temp, kernel);
dilate(temp, dst, kernel);
//erode(img_bin, temp, r_line);
//dilate(temp, dst, r_line);
//morphologyEx(img_bin, dst, MORPH_OPEN, c_line);
bitwise_not(dst, dst);
//blur(dst, dst, Size(3, 3), Point(-1, -1));
imshow(DST_IMG, dst);
waitKey(0);
return 0;
}
|
放几张效果图

原图

处理结果
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/weixin_43788499/article/details/84981528








发表评论
◎欢迎参与讨论,请在这里发表您的看法、交流您的观点。