OpenCV学习2-----使用inpaint函数进行图像修复

安装opencv时，在opencv的安装路径下，

sources\samples\cpp\  路径里面提供了好多经典的例子，很值得学习。

这次的例子是利用inpaint函数进行图像修复。

CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask,
                           OutputArray dst, double inpaintRadius, int flags );

其中

InputArray src 表示要修复的图像，

InputArray inpaintMask表示修复模板，

OutputArray dst 表示修复后的图像，

double inpaintRadius 表示修复的半径，

int flags 表示修复使用的算法 。  opencv提供了两种选择 CV_INPAINT_TELEA 和  CV_INPAINT_NS。

https://group.jd.com/thread/20000001/26285684/20000004.htm

感觉两种算法修复效果都还不错，但是都需要事先准备修复模板mask,也就是inpaintMask 这个参数。

例子里面用鼠标在图片上划线，划线的同时也更新了mask，而真正应用的时候需要事先设计好这个mask。

文末有最终效果图。

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/photo/photo.hpp"

#include <iostream>

using namespace cv;
using namespace std;

static void help()
{
    cout << "\nCool inpainging demo. Inpainting repairs damage to images by floodfilling the damage \n"
        << "with surrounding image areas.\n"
        "Using OpenCV version %s\n" << CV_VERSION << "\n"
        "Usage:\n"
        "./inpaint [image_name -- Default fruits.jpg]\n" << endl;

    cout << "Hot keys: \n"
        "\tESC - quit the program\n"
        "\tr - restore the original image\n"
        "\ti or SPACE - run inpainting algorithm\n"
        "\t\t(before running it, paint something on the image)\n" << endl;
}

Mat img, inpaintMask;
Point prevPt(-1, -1);

static void onm ouse(int event, int x, int y, int flags, void*)
{
    if (event == CV_EVENT_LBUTTONUP || !(flags & CV_EVENT_FLAG_LBUTTON))
        prevPt = Point(-1, -1);
    else if (event == CV_EVENT_LBUTTONDOWN)
        prevPt = Point(x, y);
    else if (event == CV_EVENT_MOUSEMOVE && (flags & CV_EVENT_FLAG_LBUTTON))
    {
        Point pt(x, y);
        if (prevPt.x < 0)
            prevPt = pt;
        line(inpaintMask, prevPt, pt, Scalar::all(255), 5, 8, 0);//mask
        line(img, prevPt, pt, Scalar::all(255), 5, 8, 0);
        prevPt = pt;
        imshow("image", img);
    }
}


int main(int argc, char** argv)
{
    char* filename = argc >= 2 ? argv[1] : (char*)"fruits.jpg";
    Mat img0 = imread(filename, -1);
    if (img0.empty())
    {
        cout << "Couldn't open the image " << filename << ". Usage: inpaint <image_name>\n" << endl;
        return 0;
    }

    help();

    namedWindow("image", 1);

    img = img0.clone();
    inpaintMask = Mat::zeros(img.size(), CV_8U);//mask

    imshow("image", img);
    setMouseCallback("image", onm ouse, 0);

    for (;;)
    {
        char c = (char)waitKey();

        if (c == 27)
            break;

        if (c == 'r')
        {
            inpaintMask = Scalar::all(0);
            img0.copyTo(img);
            imshow("image", img);
        }

        if (c == 'i' || c == ' ')
        {
            Mat inpainted;
            //inpaint(img, inpaintMask, inpainted, 3, CV_INPAINT_TELEA);//CV_INPAINT_NS
            inpaint(img, inpaintMask, inpainted, 3, CV_INPAINT_TELEA);
            imshow("inpainted image", inpainted);
        }
    }

    return 0;
}

                                                       图1  原图

                                                                               图2 CV_INPAINT_NS 算法修复效果图

                                                                                 图3 CV_INPAINT_TELEA 算法修复效果图

标签：INPAINT,修复,inpaint,InputArray,OpenCV,int,图像,include,CV
来源： https://www.cnblogs.com/bei0by/p/13045454.html