opencv c++提取水平和垂直线

最新推荐文章于 2024-04-13 21:44:41 发布

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本文通过使用OpenCV库进行图像处理，展示了从读取图片到灰度转换、自适应阈值处理、形态学操作等过程。通过对不同图像的处理，详细介绍了如何利用水平和垂直结构元素进行腐蚀、膨胀操作，以及如何应用高斯自适应阈值和模糊处理来改善图像质量。

#include<opencv2\opencv.hpp>
#include<iostream>
#include<math.h>

using namespace cv;
int main()
{
	Mat src = imread("C:/Users/asus/Desktop/tupian/5.png");
	if (src.empty())
	{
		printf("could not load image...\n");
		return -1;
	}
	Mat dst, gray_image;
	namedWindow("opencv setup demo", WINDOW_AUTOSIZE);
	imshow("opencv setup demo", src);
	cvtColor(src, gray_image, COLOR_BGR2GRAY);
	imshow("gray_image", gray_image);
	namedWindow("output window", WINDOW_AUTOSIZE);
	adaptiveThreshold(~gray_image, dst, 255, ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY, 15, -2);
	imshow("output window", dst);

	Mat hline = getStructuringElement(MORPH_RECT, Size(src.cols / 16, 1), Point(-1, -1));//水平结构元素
	Mat vline = getStructuringElement(MORPH_RECT, Size(1, src.rows/16), Point(-1, -1));//垂直结构元素

	Mat temp;
	erode(dst, temp, hline);
	dilate(temp, dst, hline);
	//morphologyEx(dst, dst, MORPH_OPEN, hline);
	bitwise_not(dst, dst);
	blur(dst, dst, Size(3, 3), Point(-1, -1));
	imshow("1", dst);
	
	waitKey(0);
	return 0;

}

#include<opencv2\opencv.hpp>
#include<iostream>
#include<math.h>

using namespace cv;
int main()
{
	Mat src = imread("C:/Users/asus/Desktop/tupian/6.png");
	if (src.empty())
	{
		printf("could not load image...\n");
		return -1;
	}
	Mat dst, gray_image;
	namedWindow("opencv setup demo", WINDOW_AUTOSIZE);
	imshow("opencv setup demo", src);
	cvtColor(src, gray_image, COLOR_BGR2GRAY);
	imshow("gray_image", gray_image);
	namedWindow("output window", WINDOW_AUTOSIZE);
	adaptiveThreshold(~gray_image, dst, 255, ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY, 15, -2);
	imshow("output window", dst);

	Mat hline = getStructuringElement(MORPH_RECT, Size(src.cols / 16, 1), Point(-1, -1));//水平结构元素
	Mat vline = getStructuringElement(MORPH_RECT, Size(1, src.rows/16), Point(-1, -1));//垂直结构元素
	Mat kernel = getStructuringElement(MORPH_RECT, Size(3, 3), Point(-1, -1));

	Mat temp;
	erode(dst, temp, kernel);
	dilate(temp, dst, kernel);
	//morphologyEx(dst, dst, MORPH_OPEN, hline);
	bitwise_not(dst, dst);
	imshow("1", dst);
	
	waitKey(0);
	return 0;

}