OpenCV皮肤检测

Question

我一直在做一些皮肤检测,但无法顺利进行.下面的图像包含输入(左)和输出(右),使用下面附带的代码.现在,所需的输出应该是最底部的图像(边缘光滑且没有孔的图像).我如何实现此输出？从哪里开始的示例代码将有很大帮助.

输入(左)和不正确的输出(右):

期望的输出:

用于生成Incorect输出的代码:

#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace cv;

int main(){
    Mat src = imread("qq.jpg");
    if (src.empty())
        return -1;
    blur( src, src, Size(3,3) );
    Mat hsv;
    cvtColor(src, hsv, CV_BGR2HSV);
    Mat bw;
    inRange(hsv, Scalar(0, 10, 60), Scalar(20, 150, 255), bw);
    imshow("src", src);
    imshow("dst", bw);
    waitKey(0);
    return 0;
}

修改后的代码(在Astor的建议之后):(现在的问题是:你如何平滑输出？)

#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace cv;

int findBiggestContour(vector<vector<Point> >);

int main(){
    Mat src = imread("qq.jpg");
    if (src.empty())
        return -1;
    blur( src, src, Size(3,3) );

    Mat hsv;
    cvtColor(src, hsv, CV_BGR2HSV);

    Mat bw;
    inRange(hsv, Scalar(0, 10, 60), Scalar(20, 150, 255), bw);
    imshow("src", src);
    imshow("dst", bw);

    Mat canny_output;
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    findContours( bw, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
    int s = findBiggestContour(contours);

    Mat drawing = Mat::zeros( src.size(), CV_8UC1 );
    drawContours( drawing, contours, s, Scalar(255), -1, 8, hierarchy, 0, Point() );

    imshow("drw", drawing);
    waitKey(0);
    return 0;
}

int findBiggestContour(vector<vector<Point> > contours){
    int indexOfBiggestContour = -1;
    int sizeOfBiggestContour = 0;
    for (int i = 0; i < contours.size(); i++){
        if(contours[i].size() > sizeOfBiggestContour){
            sizeOfBiggestContour = contours[i].size();
            indexOfBiggestContour = i;
        }
    }
    return indexOfBiggestContour;
}

Answer 1

您应该使用findContours检测最大轮廓并在此绘制后使用填充参数-1使用方法创建轮廓drawContours.这是有用的链接:http://docs.opencv.org/doc/tutorials/imgproc/shapedescriptors/find_contours/find_contours.html