Extract Sobel feature from an image

使用OpenCV进行图像处理：边缘检测与显示

最新推荐文章于 2020-11-20 13:49:12 发布

原创最新推荐文章于 2020-11-20 13:49:12 发布 · 783 阅读

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本文详细介绍了如何使用OpenCV库进行图像处理，特别关注于图像的灰度转换、Sobel算子的使用以进行边缘检测，并展示了如何将检测结果可视化。

#include <iostream>
#include <opencv.hpp>
using namespace std;
using namespace cv;
int main()
{
    Mat img = imread("t.jpg");
    Mat grey;
    cvtColor(img, grey, CV_BGR2GRAY);

    Mat sobelx;
    Mat sobely;
    Sobel(grey, sobelx, CV_32F, 1, 0);
    Sobel(grey, sobely, CV_32F, 0, 1);

    double minVal_x, minVal_y, maxVal_x, maxVal_y;
    minMaxLoc(sobelx, &minVal_x, &maxVal_x); //find minimum and maximum intensities
    minMaxLoc(sobely, &minVal_y, &maxVal_y); //find minimum and maximum intensities
    Mat draw_x;
    Mat draw_y;
    sobelx.convertTo(draw_x, CV_8U, 255.0/(maxVal_x - minVal_x), -minVal_x * 255.0/(maxVal_x - minVal_x));
    sobely.convertTo(draw_y, CV_8U, 255.0/(maxVal_y - minVal_y), -minVal_y * 255.0/(maxVal_y - minVal_y));

    namedWindow("sobelx", CV_WINDOW_AUTOSIZE);
    imshow("sobelx", draw_x);
    //waitKey();
    namedWindow("sobely", CV_WINDOW_AUTOSIZE);
    imshow("sobely", draw_y);
    waitKey();
    return 0;
}