三维重建之LoG特征点检测算法流程及C++实现

此乃流程

#include<iostream>
#include<opencv2/opencv.hpp>
#include<features2d/features2d.hpp>
#include<opencv2/objdetect/objdetect.hpp>
#include"opencv2/imgproc/imgproc.hpp"
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
    Mat img = imread("D:\\myProject\\my3DCV\\vs2019\\workspace\\Project1\\images\\kxm1.jpg");
    if (img.empty())
    {
        std::cout << "You didn't read the image sucessfully!" << std::endl;
        return 0;
    }
    namedWindow("src");
    imshow("src", img);
    waitKey(20);
    Mat imgGaussian, img16S, imgLoG, imgSobelx, imgSobely, imgSobel, imgCanny;
    GaussianBlur(img, imgGaussian, Size(3, 3), 1);//高斯模糊
    namedWindow("Gaussian");
    imshow("Gaussian", imgGaussian);
    waitKey(0);
    Laplacian(imgGaussian, img16S, 3);
    convertScaleAbs(img16S, imgLoG, 1);
    namedWindow("LoG");
    imshow("LoG", imgLoG);
    waitKey(0);
    Sobel(img, img16S, 3, 1, 0);
    convertScaleAbs(img16S, imgSobelx, 1);
    Sobel(img, img16S, 3, 0, 1);
    convertScaleAbs(img16S, imgSobely, 1);
    add(imgSobelx, imgSobely, imgSobel);
    namedWindow("Sobel");
    imshow("Sobel", imgSobel);
    waitKey(0);
    Canny(img, imgCanny, 100, 200);
    namedWindow("Canny");
    imshow("Canny", imgCanny);
    waitKey(0);
    return 0;
}

算法实现包括高斯模糊，LoG特征点检测，Sobel算子，Canny边缘检测

结果如下：

原图：

高斯模糊：

LoG检测

Sobel算子

Canny边缘检测