成都做网站建设,以服务营销出名的企业,提高网站收录,做网站的方案图片opencv 之 外接多边形#xff08;矩形、圆、三角形、椭圆、多边形#xff09;使用详解 本文主要讲述opencv中的外接多边形的使用#xff1a; 多边形近似外接矩形、最小外接矩形最小外接圆外接三角形椭圆拟合凸包 将重点讲述最小外接矩形的使用
1. API介绍
#多边形近似
v…opencv 之 外接多边形矩形、圆、三角形、椭圆、多边形使用详解 本文主要讲述opencv中的外接多边形的使用 多边形近似外接矩形、最小外接矩形最小外接圆外接三角形椭圆拟合凸包 将重点讲述最小外接矩形的使用
1. API介绍
#多边形近似
void cv::approxPolyDP(InputArray curve,OutputArray approxCurve,double epsilon,bool closed )
Python:
cv.approxPolyDP(curve, epsilon, closed[, approxCurve] ) - approxCurve#计算点到多边形的距离或者判断是否在多边形内部
double cv::pointPolygonTest (InputArray contour,Point2f pt,bool measureDist )
Python:
cv.pointPolygonTest(contour, pt, measureDist) - retval#外接矩形
Rect cv::boundingRect(InputArray array) Python:
cv.boundingRect(array) - retval#最小外接矩形
RotatedRect cv::minAreaRect (InputArray points)
Python:
cv.minAreaRect( points) - retval#求矩形交集
int cv::rotatedRectangleIntersection(const RotatedRect rect1,const RotatedRect rect2,OutputArray intersectingRegion )
Python:
cv.rotatedRectangleIntersection(rect1, rect2[, intersectingRegion] ) - retval, intersectingRegion#最小外接圆
void cv::minEnclosingCircle (InputArray points,Point2f center,float radius )
Python:
cv.minEnclosingCircle(points) - center, radius#最小外接三角形
double cv::minEnclosingTriangle (InputArray points,OutputArray triangle)
Python:
cv.minEnclosingTriangle(points[, triangle] ) - retval, triangle#椭圆拟合
void cv::ellipse(InputOutputArray img,Point center,Size axes,double angle,double startAngle,double endAngle,const Scalar color,int thickness 1,int lineType LINE_8,int shift 0 )
Python:
cv.ellipse( img, center, axes, angle, startAngle, endAngle, color[, thickness[, lineType[, shift]]] ) - img
cv.ellipse( img, box, color[, thickness[, lineType]] ) - img2. 例程
给一个opencv官方的例程
#include opencv2/highgui.hpp
#include opencv2/imgproc.hpp
#include iostream
using namespace cv;
using namespace std;
static void help()
{cout This program demonstrates finding the minimum enclosing box, triangle or circle of a set\n of points using functions: minAreaRect() minEnclosingTriangle() minEnclosingCircle().\n Random points are generated and then enclosed.\n\n Press ESC, q or Q to exit and any other key to regenerate the set of points.\n\n;
}
int main(int /*argc*/, char** /*argv*/)
{help();Mat img(500, 500, CV_8UC3, Scalar::all(0));RNG rng theRNG();for (;;){int i, count rng.uniform(1, 101);vectorPoint points;// Generate a random set of pointsfor (i 0; i count; i){Point pt;pt.x rng.uniform(img.cols / 4, img.cols * 3 / 4);pt.y rng.uniform(img.rows / 4, img.rows * 3 / 4);points.push_back(pt);}// Find the minimum area enclosing bounding boxPoint2f vtx[4];RotatedRect box minAreaRect(points);box.points(vtx);// Find the minimum area enclosing trianglevectorPoint2f triangle;minEnclosingTriangle(points, triangle);// Find the minimum area enclosing circlePoint2f center;float radius 0;minEnclosingCircle(points, center, radius);img Scalar::all(0);// Draw the pointsfor (i 0; i count; i)circle(img, points[i], 3, Scalar(0, 0, 255), FILLED, LINE_AA);// Draw the bounding boxfor (i 0; i 4; i)line(img, vtx[i], vtx[(i 1) % 4], Scalar(0, 255, 0), 1, LINE_AA);//绘制外接矩形rectangle(img, box.boundingRect(), cv::Scalar(10, 100, 20), 2);//也可以/*cv::Rect _rect boundingRect(points);rectangle(img, _rect, cv::Scalar(10, 100, 20), 2);*/// Draw the trianglefor (i 0; i 3; i)line(img, triangle[i], triangle[(i 1) % 3], Scalar(255, 255, 0), 1, LINE_AA);// Draw the circlecircle(img, center, cvRound(radius), Scalar(0, 255, 255), 1, LINE_AA);imshow(Rectangle, triangle circle, img);char key (char)waitKey();if (key 27 || key q || key Q) // ESCbreak;}return 0;
}过程图像如下 椭圆拟合一般用于轮廓提取之后 //获取拟合椭圆的外包围矩形
cv::RotatedRect rotate_rect cv::fitEllipse(points);
//绘制拟合椭圆
cv::ellipse(image, rotate_rect, cv::Scalar(0, 255, 255), 2, 8); 凸包绘制 vectorPoint hull;convexHull(points, hull, true);img Scalar::all(0);for( i 0; i count; i )circle(img, points[i], 3, Scalar(0, 0, 255), FILLED, LINE_AA);polylines(img, hull, true, Scalar(0, 255, 0), 1, LINE_AA);imshow(hull, img);#多边形填充绘制polylines(img, hull, true, Scalar(0, 255, 0), -1, LINE_AA);计算两个旋转矩形交集
vectorPoint2f intersectingRegion;
rotatedRectangleIntersection(rect1, rect2, intersectingRegion);3. 关于最小外接矩形
C版的最小外接矩形使用
RotatedRect rect minAreaRect(points);
float angle rect.
box.points(vtx);其接口返回值可读取如下其中其角度指的是width与物理坐标系y轴正方向逆时针所成的夹角 赋值时也可以读出如下数据中心、角度、尺寸大小、外接矩形
画图详解一下吧 想要看真实的效果图的话可以参考biubiubiu~ 它也可以用于 python版本的最小外接矩形 _rect cv2.minAreaRect(conts_new[i])(x, y), (w, h), ang _rectbox cv2.boxPoints(_rect)# 标准化坐标到整数box np.int32(box)cv2.drawContours(mask_c3, [box], 0, (int(bgr[0]), int(bgr[1]), int(bgr[2])),2)还有一些想法后边再补充吧
