Mat src;
//归一化图像
Mat bgr;
//HLS图像
Mat hls;
// 相
int hmin = 51;
int hmin_Max = 360;
int hmax = 360;
int hmax_Max = 360;
//亮度
int lmin = 26;
int lmin_Max = 255;
int lmax = 252;
int lmax_Max = 255;
//饱和度
int smin = 85;
int smin_Max = 255;
int smax = 255;
int smax_Max = 255;
//显示原图的窗口
string windowName = "src";
//颜色区间
string dstName = "dst";
Mat dst;//输出图像
void callBack(int, void*)
{
//输出图像
dst = Mat::zeros(bgr.size(), CV_32FC3);
//掩码
Mat mask;
inRange(hls, Scalar(hmin, lmin / float(lmin_Max), smin / float(smin_Max)), Scalar(hmax, lmax / float(lmax_Max), smax / float(smax_Max)), mask);
for (int r = 0; r < bgr.rows; r++)
{
for (int c = 0; c < bgr.cols; c++)
{
if (mask.at<uchar>(r, c) == 255)
{
dst.at<Vec3f>(r, c) = bgr.at<Vec3f>(r, c);
}
}
}
//输出图像
imshow(dstName, dst);
//保存输出图像
//数据类型转换
dst.convertTo(dst, CV_8UC3, 255, 0);
//imwrite("dst.jpg", dst);
}
int main(int argc, char* argv[])
{
//输入图像
src = imread("F:/OpenCv/任务/NO4/A.jpg", IMREAD_COLOR);
Mat clo = src.clone();
resize(clo, clo, Size(640, 480));
if (!clo.data || clo.channels() != 3)
return -1;
waitKey(0);
//输入图像灰度值的归一化
clo.convertTo(bgr, CV_32FC3, 1.0 / 255, 0);
//颜色空间转换
cvtColor(bgr, hls, COLOR_BGR2HSV);
//输出图像
namedWindow(dstName, WINDOW_GUI_NORMAL);
namedWindow("Name", WINDOW_GUI_NORMAL);
// 相
createTrackbar("hmin", "Name", &hmin, hmin_Max, callBack);
createTrackbar("hmax", "Name", &hmax, hmax_Max, callBack);
//亮度
createTrackbar("lmin", "Name", &lmin, lmin_Max, callBack);
createTrackbar("lmax", "Name", &lmax, lmax_Max, callBack);
//饱和度
createTrackbar("smin", "Name", &smin, smin_Max, callBack);
createTrackbar("smax", "Name", &smax, smax_Max, callBack);
callBack(0, 0);
Mat element = getStructuringElement(MORPH_RECT, Size(1, 1));
morphologyEx(dst, dst, MORPH_OPEN, element);
erode(dst, dst, element);
//闭操作 (连接一些连通域)
Mat element_re = getStructuringElement(MORPH_RECT, Size(1, 1));
morphologyEx(dst, dst, MORPH_CLOSE, element_re);
dilate(dst, dst, element_re);
imshow(" ", dst);
//imshow(" ", src);
waitKey(0);
return 0;
}
将值代入inrange