题目说明:首先拍摄一张某场景的照片,然后摄像机不动,在此场景中心位置放一个咖啡杯,再拍摄一张照片,将其载入电脑并都转换为8位灰度图像。
a.取其差的绝对值并显示结果,它应该是一个带有噪声的咖啡杯掩码。
b.对结果图像进行二值化阈值操作,剔除噪声的同时并保留咖啡杯。超过阈值的像素应该设为255.显示结果。
c.在图像上进行CV_MOP_OPEN操作,以进一步清除噪声。
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
int main()
{
Mat img1 = imread("cup_1.jpg",CV_LOAD_IMAGE_GRAYSCALE);
Mat img2 = imread("cup_2.jpg",CV_LOAD_IMAGE_GRAYSCALE);
Mat abs_diff;
absdiff(img1,img2,abs_diff);
Mat thres_binary;
threshold(abs_diff,thres_binary,20,255,THRESH_BINARY);
Mat mop_open;
Mat kernel = getStructuringElement(MORPH_RECT, Size(3,3), Point(-1,-1));
morphologyEx(thres_binary,mop_open,MORPH_OPEN,kernel);
imshow("abs_diff",abs_diff);
imshow("thres_binary",thres_binary);
imshow("mop_open",mop_open);
imwrite("abs_diff.jpg",abs_diff);
imwrite("thres_binary.jpg",thres_binary);
imwrite("mop_open.jpg",mop_open);
waitKey(0);
}