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opencv 形态学操作应用-提取水平与垂直线

2017-07-12 16:47 435 查看


adaptiveThreshold(~gray_src, binImg, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, -2);




#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;
int main(int argc, char** argv) {
Mat src, dst;
src = imread("E:/opencv3.2/TestOpenCVInstall/Debug/chars.png");
if (!src.data) {
printf("could not load image...\n");
return -1;
}

char INPUT_WIN[] = "input image";
char OUTPUT_WIN[] = "result image";
namedWindow(INPUT_WIN, CV_WINDOW_AUTOSIZE);
imshow(INPUT_WIN, src);

Mat gray_src;
cvtColor(src, gray_src, CV_BGR2GRAY);
imshow("gray image", gray_src);

Mat binImg;
adaptiveThreshold(~gray_src, binImg, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, -2);
imshow("binary image", binImg);

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

Mat temp;
erode(binImg, temp, kernel);
dilate(temp, dst, kernel);
// morphologyEx(binImg, dst, CV_MOP_OPEN, vline);
bitwise_not(dst, dst);
//blur(dst, dst, Size(3, 3), Point(-1, -1));
imshow("Final Result", dst);

waitKey(0);
return 0;
}
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