[英]Finding a known object with OpenCV C++
我是 OpenCV 的新手。 我在 Visual Studio 2013、windows 10 上使用 OpenCV - 2.4.12。我正在尝试创建一个程序,该程序将采用 2 张图像作为输入,并尝试在第二张图像中找到类似的第一张图像块。 通过查找功能和 Homography .. 基本上我正在关注本教程。 并成功实现了代码。 所以我想更进一步,我想裁剪匹配的块……所以,我成功地创建了一个蒙版图像,但是当我尝试 bitwise_and 或类似的东西时,它显示了以下错误。
Unhandled exception at 0x772FD928 in OpenCVTut.exe Microsoft C++ exception: cv::Exception at memory location 0x0017E6C0.
我试过谷歌搜索了很多......但找不到任何解决方案。 以下是代码,以及我正在使用的图像和我生成的蒙版..
#include <iostream>
#include <opencv2\opencv.hpp>
#include <opencv2\core\core.hpp>
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\features2d\features2d.hpp>
#include <opencv2\calib3d\calib3d.hpp>
#include <opencv2\features2d\features2d.hpp>
#include <opencv2\nonfree\nonfree.hpp>
using namespace std;
using namespace cv;
int main() {
Mat imgObject = cvLoadImage("E:/opencv/images/Experiments/target.jpg", CV_LOAD_IMAGE_GRAYSCALE);
Mat imgScene = cvLoadImage("E:/opencv/images/Experiments/source.jpg", CV_LOAD_IMAGE_GRAYSCALE);
if (!imgObject.data || !imgScene.data) {
cout << "Error reading images" << endl;
return -1;
}
int minHessian = 400;
SurfFeatureDetector detector(minHessian);
vector<KeyPoint> keyPointsObject;
vector<KeyPoint> keyPointsScene;
detector.detect(imgObject, keyPointsObject);
detector.detect(imgScene, keyPointsScene);
SurfDescriptorExtractor extractor;
Mat descriptorObject;
Mat descriptorScene;
extractor.compute(imgObject, keyPointsObject, descriptorObject);
extractor.compute(imgScene, keyPointsScene, descriptorScene);
FlannBasedMatcher matcher;
vector<DMatch> matches;
matcher.match(descriptorObject, descriptorScene, matches);
double maxDist = 0;
double minDist = 100;
for (int i = 0; i < descriptorObject.rows; i++) {
double dist = matches[i].distance;
if (dist > maxDist) maxDist = dist;
if (dist < minDist) minDist = dist;
}
cout << "-- Max dist : " << maxDist << endl;
cout << "-- Min dist : " << minDist << endl;
vector<DMatch> goodMatches;
for (int i = 0; i < descriptorObject.rows; i++) {
if (matches[i].distance < 3 * minDist) {
goodMatches.push_back(matches[i]);
}
}
/*Mat imgMatches;
drawMatches(imgObject, keyPointsObject, imgScene, keyPointsScene,
goodMatches, imgMatches, Scalar::all(-1), Scalar::all(-1),
vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);*/
vector<Point2f> obj;
vector<Point2f> scene;
for (int i = 0; i < goodMatches.size(); i++) {
obj.push_back(keyPointsObject[goodMatches[i].queryIdx].pt);
scene.push_back(keyPointsScene[goodMatches[i].trainIdx].pt);
}
Mat H = findHomography(obj, scene, CV_RANSAC);
vector<Point2f> objCorners(4);
objCorners[0] = cvPoint(0, 0);
objCorners[1] = cvPoint(imgObject.cols, 0);
objCorners[2] = cvPoint(imgObject.cols, imgObject.rows);
objCorners[3] = cvPoint(0, imgObject.rows);
vector<Point2f> sceneCorners(4);
perspectiveTransform(objCorners, sceneCorners, H);
line(imgScene, sceneCorners[0], sceneCorners[1], Scalar(0, 255, 0), 4);
line(imgScene, sceneCorners[1], sceneCorners[2], Scalar(0, 255, 0), 4);
line(imgScene, sceneCorners[2], sceneCorners[3], Scalar(0, 255, 0), 4);
line(imgScene, sceneCorners[3], sceneCorners[0], Scalar(0, 255, 0), 4);
Mat mask = Mat::zeros(imgScene.rows, imgScene.cols, CV_8UC3);
vector< vector<Point> > contours;
vector< Vec4i > hierarchy;
Mat coun;
imgScene.copyTo(coun);
findContours(coun, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
Scalar color(255, 255, 255);
drawContours(mask, contours, 0, color, CV_FILLED, 8, hierarchy);
Mat element = getStructuringElement(MORPH_RECT, Size(2, 2), Point(0, 0));
dilate(mask, mask, element);
erode(mask, mask, element);
Mat res(imgScene.rows, imgScene.cols, CV_8UC1, Scalar(0, 0, 0));
bitwise_and(imgScene, mask, res);
namedWindow("Good Matches & Object detection", CV_WINDOW_AUTOSIZE);
imshow("Good Matches & Object detection", mask);
waitKey(0);
return 0;
}
目标
所以,任何人都可以解释这个错误......以及我需要做什么来解决它......
提前致谢 :)
错误发生在行:
bitwise_and(imgScene, mask, res);
因为这两个矩阵具有不同的类型: imgScene
是一个CV_8UC1
矩阵,而mask
是一个CV_8UC3
。
由于掩码通常只是一个二进制图像,可以安全地用单通道矩阵表示,您可以修复代码,使mask
成为CV_8UC1
矩阵:
Mat mask = Mat::zeros(imgScene.rows, imgScene.cols, CV_8UC1); // Instead of CV_8UC3
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