C++OpenCV——标记图中三个通道像素值特定区域并输出所占比率

用红色Mask出一个图片中RGB三个通道像素值都符合在某一个范围内图像区域&＃xff0c;用蓝色mask出既符合三通道&＃xff0c;像素值在一个范围内也符合亮度在一个区间内的局部区域,并输出符合区域所占整个区域的比例
 

Mat QuickDemo::mask_localImage(Mat& image)
{// 输入图像image是单通道的灰度图float h &＃61; image.rows;float w &＃61; image.cols;int dims &＃61; image.channels();// 将单通道灰度图转换成为伪灰度图的三通道图像Mat image_bgr1;cvtColor(image, image_bgr1, COLOR_GRAY2BGR);int r_count &＃61; 0;for (int row &＃61; 0; row (row, col)[0] > 10 && image_bgr1.at(row, col)[1] > 100 && image_bgr1.at(row, col)[2]>150){image_bgr1.at(row, col)[0] &＃61; 0;image_bgr1.at(row, col)[1] &＃61; 0;image_bgr1.at(row, col)[2] &＃61; 255;r_count&＃43;&＃43;;}else if (image.at(row,col)>50 && image.at(row, col)<100){image_bgr1.at(row, col)[0] &＃61; 0;image_bgr1.at(row, col)[1] &＃61; 255;image_bgr1.at(row, col)[2] &＃61; 0;}else if (image_bgr1.at(row, col)[0] > 10 && image_bgr1.at(row, col)[1] > 100 && image_bgr1.at(row, col)[2] > 150&& image.at(row, col) > 50 ||image.at(row, col) <100){image_bgr1.at(row, col)[0] &＃61; 255;image_bgr1.at(row, col)[1] &＃61; 0;image_bgr1.at(row, col)[2] &＃61; 0;}}}cout <<"红色区域的像素个数" <}

测试代码&＃xff1a;

#include
#include
#include
using namespace cv;
using namespace std;int main(int argc, char** argv) {Mat src &＃61; imread("D:\\testImage\\4.BMP");Mat pt &＃61; src;if (src.empty()) {printf("could not load image...");return -1;}namedWindow("原图", WINDOW_FREERATIO);imshow("原图", src);Mat image_gray;cvtColor(src, image_gray, COLOR_BGR2GRAY);Mat image_bgr;cvtColor(image_gray, image_bgr, COLOR_GRAY2BGR);namedWindow("输入窗口", WINDOW_FREERATIO);imshow("输入窗口", image_bgr);int gray_dims &＃61; image_gray.channels();int bgr_dims &＃61; image_bgr.channels();cout <<"image_gray的通道数&＃xff1a;" <}


 原图和灰度图

 标记图

其他颜色区域所占的比率大家有兴趣可以自己输出 

我们需要对ROI&＃xff08;感兴趣的区域&＃xff09;框起来。

void QuickDemo::draw_interest_pluse(Mat& image, int re_h, int re_w) {// 首先打上掩膜Mat image_add &＃61; mask_localImage(image);int h &＃61; image_add.rows; // 原图高int w &＃61; image_add.cols; // 原图宽int r_h &＃61; h / re_h; // 分割高度以后的区域int r_w &＃61; w / re_w; // 分割宽度以后的区域// vector points; // 设置容器&＃xff0c;用来存储坐标for (int i &＃61; 0; i points; // 设置容器&＃xff0c;用来存储坐标for (int row &＃61; i * r_h; row (row, col)[0] &＃61;&＃61; 0 &&image_add.at(row, col)[1] &＃61;&＃61; 0 &&image_add.at(row, col)[2] &＃61;&＃61; 255) {// 查找符合要求的像素点Point midPoint;midPoint.x &＃61; col;midPoint.y &＃61; row;points.push_back(midPoint);}}}Rect rect &＃61; boundingRect(points);rectangle(image_add, rect, Scalar(0, 0, 0), 1, 8);}}namedWindow("add_mask", WINDOW_FREERATIO);imshow("add_mask", image_add);
}


测试函数如下&＃xff1a;

#include
#include
#include
using namespace cv;
using namespace std;int main(int argc, char** argv) {Mat src &＃61; imread("D:\\testImage\\123.BMP");if (src.empty()) {printf("could not load image...");return -1;}Mat src_gray;cvtColor(src, src_gray, COLOR_BGR2GRAY);QuickDemo qd;Mat after_image &＃61; qd.mask_localImage(src_gray);namedWindow("new_image", WINDOW_FREERATIO);imshow("new_image", after_image);qd.draw_interest_pluse(src_gray, 2, 4);waitKey(0);return 0;
}

结果如下&＃xff1a;

上图是根据需求一实现的对ROI区域进行掩模的图&＃xff0c;我们需要对他进行框起来

结果如下&＃xff1a;