【opencv450-samples】边缘检测edge.cpp

测试图像

 左侧Edge map : Canny default (Sobel gradient)

  右侧Edge map : Canny with custom gradient (Scharr)

源码：

#include "opencv2/core/utility.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"

#include 

using namespace cv;
using namespace std;

int edgeThresh = 1;//sobel梯度 canny边缘检测的阈值 最小值
int edgeThreshScharr = 1;//Scharr自定义梯度 canny边缘检测最小阈值

Mat image, gray, blurImage, edge1, edge2, cedge;

const char* window_name1 = "Edge map : Canny default (Sobel gradient)";
const char* window_name2 = "Edge map : Canny with custom gradient (Scharr)";

// define a trackbar callback
static void onTrackbar(int, void*)
{
    blur(gray, blurImage, Size(3, 3));//滤波

    // 在灰度图上运行边缘检测器Run the edge detector on grayscale
    Canny(blurImage, edge1, edgeThresh, edgeThresh * 3, 3);//Sobel算子的孔径大小3
    cedge = Scalar::all(0);

    image.copyTo(cedge, edge1);
    imshow(window_name1, cedge);

    ///带 scharr 的 Canny 探测器 Canny detector with scharr
    Mat dx, dy;
    Scharr(blurImage, dx, CV_16S, 1, 0);
    Scharr(blurImage, dy, CV_16S, 0, 1);
    Canny(dx, dy, edge2, edgeThreshScharr, edgeThreshScharr * 3);
    ///使用 Canny 的输出作为掩码，我们显示我们的结果 Using Canny's output as a mask, we display our result
    cedge = Scalar::all(0);
    image.copyTo(cedge, edge2);
    imshow(window_name2, cedge);
}

static void help(const char** argv)
{
    printf("\nThis sample demonstrates Canny edge detection\n"
        "Call:\n"
        "    %s [image_name -- Default is fruits.jpg]\n\n", argv[0]);
}

const char* keys =
{
    "{help h||}{@image |apple.jpg|input image name}"//fruits.jpg
};

int main(int argc, const char** argv)
{
    help(argv);
    CommandLineParser parser(argc, argv, keys);
    string filename = parser.get(0);

    image = imread(samples::findFile(filename), IMREAD_COLOR);//读取彩色图像
    if (image.empty())
    {
        printf("Cannot read image file: %s\n", filename.c_str());
        help(argv);
        return -1;
    }
    cedge.create(image.size(), image.type());
    cvtColor(image, gray, COLOR_BGR2GRAY);//灰度图

    // Create a window
    namedWindow(window_name1, 1);
    namedWindow(window_name2, 1);

    // create a toolbar
    createTrackbar("Canny threshold default", window_name1, &edgeThresh, 100, onTrackbar);
    createTrackbar("Canny threshold Scharr", window_name2, &edgeThreshScharr, 400, onTrackbar);

    // Show the image
    onTrackbar(0, 0);

    // Wait for a key stroke; the same function arranges events processing
    waitKey(0);

    return 0;
}