利用掩膜日趋ROI区域-人物提取

背景：在背景颜色比较单一均匀的图像上，将目标区域提取出来或用于其它图像。

思路：将图像从rgb空间转换到HSV空间，利用区域在HSV空间上的差异

 使用：inRange(hsv, Scalar(35, 40, 40), Scalar(85, 255, 255), trea_leaf_mask); 函数讲背景区域的掩膜部分提取出来。

通过位运算得到目标区域的掩膜，利用掩膜提取目标区域。

主要是要分析图像在HSV空间上，前景与背景的差异。

（借用一下孟姐在百度上的图哈）

 

#include <iostream>
#include<opencv2/opencv.hpp>
using namespace std;
using namespace cv;

int main()
{
    Mat img = imread("d:\\Images\\mengjie2.jfif", cv::IMREAD_UNCHANGED);
    if (img.empty())
    {
        printf("图像无法正常加载\n");
        return 0;
    }
    Mat hsv, trea_leaf_mask,tree_trunk_mask ;
    cvtColor(img, hsv, COLOR_BGR2HSV);
    
　　 //inRange 将hsv range1- range2区间的区域提取来 输出二值的掩码图像 掩膜与图像计算 非0区域会被提取出来
　　//说句废话 黑色 =0          白色 =255
    inRange(hsv, Scalar(35, 40, 40), Scalar(85, 255, 255), trea_leaf_mask);
    inRange(hsv, Scalar(10, 40, 40), Scalar(25, 255, 200), tree_trunk_mask);

    Mat combinedMask;
　　//位运算 或
    bitwise_or(trea_leaf_mask, trea_leaf_mask, combinedMask);

    Mat kernel = getStructuringElement(MORPH_RECT, Size(5, 5));
    morphologyEx(combinedMask, combinedMask, MORPH_CLOSE, kernel);
    morphologyEx(combinedMask, combinedMask, MORPH_OPEN, kernel);

    Mat foregroundMask;
    bitwise_not(combinedMask, foregroundMask);

    Mat result(img.size(), CV_8UC3, Scalar(255, 255, 255));
　　//将img最后 在mask最后非0位置对应的像素复制到结果图像最后
    img.copyTo(result, foregroundMask);

    namedWindow("original", WINDOW_FREERATIO);
    int window_width = 300;
    resizeWindow("original", Size(window_width, window_width * img.rows / img.cols));
    imshow("original", img);

    namedWindow("foreground", WINDOW_FREERATIO);
    resizeWindow("foreground", Size(window_width, window_width * combinedMask.rows / combinedMask.cols));
    imshow("foreground", combinedMask);

    namedWindow("result", WINDOW_FREERATIO);
    resizeWindow("result", Size(window_width, window_width * result.rows / result.cols));
    imshow("result", result);

    // 分离 HSV 通道
    std::vector<Mat> channels;
    split(hsv, channels);
    namedWindow("h", WINDOW_FREERATIO);
    resizeWindow("h", Size(window_width, window_width * hsv.rows / hsv.cols));
    imshow("h", channels[0]);

    namedWindow("s", WINDOW_FREERATIO);
    resizeWindow("s", Size(window_width, window_width * hsv.rows / hsv.cols));
    imshow("s", channels[1]);

    namedWindow("v", WINDOW_FREERATIO);
    resizeWindow("v", Size(window_width, window_width * hsv.rows / hsv.cols));
    imshow("v", channels[2]);

    waitKey(0);
    cv::destroyAllWindows();
    return 0;
}