我尝试在执行一些按处理步骤后找到图像中最大的countour,例如: 1)GrayScale 2)阈值 - 二值化 3)Canny
然后找到轮廓的代码: List contours = new ArrayList();
Imgproc.findContours(img_gray, contours, new Mat(), Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
double maxArea = -1;
int maxAreaIdx = -1;
MatOfPoint temp_contour = contours.get(0); //the largest is at the index 0 for starting point
MatOfPoint2f approxCurve = new MatOfPoint2f();
MatOfPoint largest_contour = contours.get(0);
//largest_contour.ge
List<MatOfPoint> largest_contours = new ArrayList<MatOfPoint>();
//Imgproc.drawContours(imgSource,contours, -1, new Scalar(0, 255, 0), 1);
for (int idx = 0; idx < contours.size(); idx++) {
temp_contour = contours.get(idx);
double contourarea = Imgproc.contourArea(temp_contour);
//compare this contour to the previous largest contour found
if (contourarea > maxArea) {
//check if this contour is a square
MatOfPoint2f new_mat = new MatOfPoint2f( temp_contour.toArray() );
int contourSize = (int)temp_contour.total();
MatOfPoint2f approxCurve_temp = new MatOfPoint2f();
Imgproc.approxPolyDP(new_mat, approxCurve_temp, contourSize*0.05, true);
if (approxCurve_temp.total() == 4) {
maxArea = contourarea;
maxAreaIdx = idx;
approxCurve=approxCurve_temp;
largest_contour = temp_contour;
}
}
}
Imgproc.cvtColor(img_gray, img_gray, Imgproc.COLOR_BayerBG2RGB);
Mat sourceImage =Highgui.imread(filePath + filename);
double[] temp_double;
temp_double = approxCurve.get(0,0);
Point p1 = new Point(temp_double[0], temp_double[1]);
//Core.circle(imgSource,p1,55,new Scalar(0,0,255));
//Imgproc.warpAffine(sourceImage, dummy, rotImage,sourceImage.size());
temp_double = approxCurve.get(1,0);
Point p2 = new Point(temp_double[0], temp_double[1]);
// Core.circle(imgSource,p2,150,new Scalar(255,255,255));
temp_double = approxCurve.get(2,0);
Point p3 = new Point(temp_double[0], temp_double[1]);
//Core.circle(imgSource,p3,200,new Scalar(255,0,0));
temp_double = approxCurve.get(3,0);
Point p4 = new Point(temp_double[0], temp_double[1]);
// Core.circle(imgSource,p4,100,new Scalar(0,0,255));
你可以看到我试图获得四个角点,即P1,P2,P3,P4。
问题在于,当我从手机摄像头点击图像时,我没有得到正确的分数,但是当我从互联网上拍摄图像时效果很好。
例如,我从手机中拍摄下面给出的图像:
检测到的角点是:
p1 = 1485.0-922.0
p2 = 1469.0-922.0
p3 = 1485.0-906.0
p4 = 1469.0-906.0
哪个恶心。如何使2-x的x-y值相同。
从这些观点转变:
当我从互联网上拍摄图像时,所有点都是完美计算的。
显然是背景。
有人可以帮我解决这个问题吗?