/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" namespace cv { // inner product static float innerProduct(Point2f &v1, Point2f &v2) { return v1.x * v2.y - v1.y * v2.x; } static void findCircle3pts(Point2f *pts, Point2f ¢er, float &radius) { // two edges of the triangle v1, v2 Point2f v1 = pts[1] - pts[0]; Point2f v2 = pts[2] - pts[0]; if (innerProduct(v1, v2) == 0.0f) { // v1, v2 colineation, can not determine a unique circle // find the longtest distance as diameter line float d1 = (float)norm(pts[0] - pts[1]); float d2 = (float)norm(pts[0] - pts[2]); float d3 = (float)norm(pts[1] - pts[2]); if (d1 >= d2 && d1 >= d3) { center = (pts[0] + pts[1]) / 2.0f; radius = (d1 / 2.0f); } else if (d2 >= d1 && d2 >= d3) { center = (pts[0] + pts[2]) / 2.0f; radius = (d2 / 2.0f); } else if (d3 >= d1 && d3 >= d2) { center = (pts[1] + pts[2]) / 2.0f; radius = (d3 / 2.0f); } } else { // center is intersection of midperpendicular lines of the two edges v1, v2 // a1*x + b1*y = c1 where a1 = v1.x, b1 = v1.y // a2*x + b2*y = c2 where a2 = v2.x, b2 = v2.y Point2f midPoint1 = (pts[0] + pts[1]) / 2.0f; float c1 = midPoint1.x * v1.x + midPoint1.y * v1.y; Point2f midPoint2 = (pts[0] + pts[2]) / 2.0f; float c2 = midPoint2.x * v2.x + midPoint2.y * v2.y; float det = v1.x * v2.y - v1.y * v2.x; float cx = (c1 * v2.y - c2 * v1.y) / det; float cy = (v1.x * c2 - v2.x * c1) / det; center.x = (float)cx; center.y = (float)cy; cx -= pts[0].x; cy -= pts[0].y; radius = (float)(std::sqrt(cx *cx + cy * cy)); } } const float EPS = 1.0e-4f; static void findEnclosingCircle3pts_orLess_32f(Point2f *pts, int count, Point2f ¢er, float &radius) { switch (count) { case 1: center = pts[0]; radius = 0.0f; break; case 2: center.x = (pts[0].x + pts[1].x) / 2.0f; center.y = (pts[0].y + pts[1].y) / 2.0f; radius = (float)(norm(pts[0] - pts[1]) / 2.0); break; case 3: findCircle3pts(pts, center, radius); break; default: break; } radius += EPS; } template static void findThirdPoint(const PT *pts, int i, int j, Point2f ¢er, float &radius) { center.x = (float)(pts[j].x + pts[i].x) / 2.0f; center.y = (float)(pts[j].y + pts[i].y) / 2.0f; float dx = (float)(pts[j].x - pts[i].x); float dy = (float)(pts[j].y - pts[i].y); radius = (float)norm(Point2f(dx, dy)) / 2.0f + EPS; for (int k = 0; k < j; ++k) { dx = center.x - (float)pts[k].x; dy = center.y - (float)pts[k].y; if (norm(Point2f(dx, dy)) < radius) { continue; } else { Point2f ptsf[3]; ptsf[0] = (Point2f)pts[i]; ptsf[1] = (Point2f)pts[j]; ptsf[2] = (Point2f)pts[k]; findEnclosingCircle3pts_orLess_32f(ptsf, 3, center, radius); } } } template void findSecondPoint(const PT *pts, int i, Point2f ¢er, float &radius) { center.x = (float)(pts[0].x + pts[i].x) / 2.0f; center.y = (float)(pts[0].y + pts[i].y) / 2.0f; float dx = (float)(pts[0].x - pts[i].x); float dy = (float)(pts[0].y - pts[i].y); radius = (float)norm(Point2f(dx, dy)) / 2.0f + EPS; for (int j = 1; j < i; ++j) { dx = center.x - (float)pts[j].x; dy = center.y - (float)pts[j].y; if (norm(Point2f(dx, dy)) < radius) { continue; } else { findThirdPoint(pts, i, j, center, radius); } } } template static void findMinEnclosingCircle(const PT *pts, int count, Point2f ¢er, float &radius) { center.x = (float)(pts[0].x + pts[1].x) / 2.0f; center.y = (float)(pts[0].y + pts[1].y) / 2.0f; float dx = (float)(pts[0].x - pts[1].x); float dy = (float)(pts[0].y - pts[1].y); radius = (float)norm(Point2f(dx, dy)) / 2.0f + EPS; for (int i = 2; i < count; ++i) { dx = (float)pts[i].x - center.x; dy = (float)pts[i].y - center.y; float d = (float)norm(Point2f(dx, dy)); if (d < radius) { continue; } else { findSecondPoint(pts, i, center, radius); } } } } // namespace cv // see Welzl, Emo. Smallest enclosing disks (balls and ellipsoids). Springer Berlin Heidelberg, 1991. void cv::minEnclosingCircle( InputArray _points, Point2f& _center, float& _radius ) { CV_INSTRUMENT_REGION() Mat points = _points.getMat(); int count = points.checkVector(2); int depth = points.depth(); Point2f center; float radius = 0.f; CV_Assert(count >= 0 && (depth == CV_32F || depth == CV_32S)); _center.x = _center.y = 0.f; _radius = 0.f; if( count == 0 ) return; bool is_float = depth == CV_32F; const Point* ptsi = points.ptr(); const Point2f* ptsf = points.ptr(); // point count <= 3 if (count <= 3) { Point2f ptsf3[3]; for (int i = 0; i < count; ++i) { ptsf3[i] = (is_float) ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); } findEnclosingCircle3pts_orLess_32f(ptsf3, count, center, radius); _center = center; _radius = radius; return; } if (is_float) { findMinEnclosingCircle(ptsf, count, center, radius); #if 0 for (size_t m = 0; m < count; ++m) { float d = (float)norm(ptsf[m] - center); if (d > radius) { printf("error!\n"); } } #endif } else { findMinEnclosingCircle(ptsi, count, center, radius); #if 0 for (size_t m = 0; m < count; ++m) { double dx = ptsi[m].x - center.x; double dy = ptsi[m].y - center.y; double d = std::sqrt(dx * dx + dy * dy); if (d > radius) { printf("error!\n"); } } #endif } _center = center; _radius = radius; } // calculates length of a curve (e.g. contour perimeter) double cv::arcLength( InputArray _curve, bool is_closed ) { CV_INSTRUMENT_REGION() Mat curve = _curve.getMat(); int count = curve.checkVector(2); int depth = curve.depth(); CV_Assert( count >= 0 && (depth == CV_32F || depth == CV_32S)); double perimeter = 0; int i; if( count <= 1 ) return 0.; bool is_float = depth == CV_32F; int last = is_closed ? count-1 : 0; const Point* pti = curve.ptr(); const Point2f* ptf = curve.ptr(); Point2f prev = is_float ? ptf[last] : Point2f((float)pti[last].x,(float)pti[last].y); for( i = 0; i < count; i++ ) { Point2f p = is_float ? ptf[i] : Point2f((float)pti[i].x,(float)pti[i].y); float dx = p.x - prev.x, dy = p.y - prev.y; perimeter += std::sqrt(dx*dx + dy*dy); prev = p; } return perimeter; } // area of a whole sequence double cv::contourArea( InputArray _contour, bool oriented ) { CV_INSTRUMENT_REGION() Mat contour = _contour.getMat(); int npoints = contour.checkVector(2); int depth = contour.depth(); CV_Assert(npoints >= 0 && (depth == CV_32F || depth == CV_32S)); if( npoints == 0 ) return 0.; double a00 = 0; bool is_float = depth == CV_32F; const Point* ptsi = contour.ptr(); const Point2f* ptsf = contour.ptr(); Point2f prev = is_float ? ptsf[npoints-1] : Point2f((float)ptsi[npoints-1].x, (float)ptsi[npoints-1].y); for( int i = 0; i < npoints; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); a00 += (double)prev.x * p.y - (double)prev.y * p.x; prev = p; } a00 *= 0.5; if( !oriented ) a00 = fabs(a00); return a00; } cv::RotatedRect cv::fitEllipse( InputArray _points ) { CV_INSTRUMENT_REGION() Mat points = _points.getMat(); int i, n = points.checkVector(2); int depth = points.depth(); CV_Assert( n >= 0 && (depth == CV_32F || depth == CV_32S)); RotatedRect box; if( n < 5 ) CV_Error( CV_StsBadSize, "There should be at least 5 points to fit the ellipse" ); // New fitellipse algorithm, contributed by Dr. Daniel Weiss Point2f c(0,0); double gfp[5] = {0}, rp[5] = {0}, t; const double min_eps = 1e-8; bool is_float = depth == CV_32F; const Point* ptsi = points.ptr(); const Point2f* ptsf = points.ptr(); AutoBuffer _Ad(n*5), _bd(n); double *Ad = _Ad, *bd = _bd; // first fit for parameters A - E Mat A( n, 5, CV_64F, Ad ); Mat b( n, 1, CV_64F, bd ); Mat x( 5, 1, CV_64F, gfp ); for( i = 0; i < n; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); c += p; } c.x /= n; c.y /= n; for( i = 0; i < n; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); p -= c; bd[i] = 10000.0; // 1.0? Ad[i*5] = -(double)p.x * p.x; // A - C signs inverted as proposed by APP Ad[i*5 + 1] = -(double)p.y * p.y; Ad[i*5 + 2] = -(double)p.x * p.y; Ad[i*5 + 3] = p.x; Ad[i*5 + 4] = p.y; } solve(A, b, x, DECOMP_SVD); // now use general-form parameters A - E to find the ellipse center: // differentiate general form wrt x/y to get two equations for cx and cy A = Mat( 2, 2, CV_64F, Ad ); b = Mat( 2, 1, CV_64F, bd ); x = Mat( 2, 1, CV_64F, rp ); Ad[0] = 2 * gfp[0]; Ad[1] = Ad[2] = gfp[2]; Ad[3] = 2 * gfp[1]; bd[0] = gfp[3]; bd[1] = gfp[4]; solve( A, b, x, DECOMP_SVD ); // re-fit for parameters A - C with those center coordinates A = Mat( n, 3, CV_64F, Ad ); b = Mat( n, 1, CV_64F, bd ); x = Mat( 3, 1, CV_64F, gfp ); for( i = 0; i < n; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); p -= c; bd[i] = 1.0; Ad[i * 3] = (p.x - rp[0]) * (p.x - rp[0]); Ad[i * 3 + 1] = (p.y - rp[1]) * (p.y - rp[1]); Ad[i * 3 + 2] = (p.x - rp[0]) * (p.y - rp[1]); } solve(A, b, x, DECOMP_SVD); // store angle and radii rp[4] = -0.5 * atan2(gfp[2], gfp[1] - gfp[0]); // convert from APP angle usage if( fabs(gfp[2]) > min_eps ) t = gfp[2]/sin(-2.0 * rp[4]); else // ellipse is rotated by an integer multiple of pi/2 t = gfp[1] - gfp[0]; rp[2] = fabs(gfp[0] + gfp[1] - t); if( rp[2] > min_eps ) rp[2] = std::sqrt(2.0 / rp[2]); rp[3] = fabs(gfp[0] + gfp[1] + t); if( rp[3] > min_eps ) rp[3] = std::sqrt(2.0 / rp[3]); box.center.x = (float)rp[0] + c.x; box.center.y = (float)rp[1] + c.y; box.size.width = (float)(rp[2]*2); box.size.height = (float)(rp[3]*2); if( box.size.width > box.size.height ) { float tmp; CV_SWAP( box.size.width, box.size.height, tmp ); box.angle = (float)(90 + rp[4]*180/CV_PI); } if( box.angle < -180 ) box.angle += 360; if( box.angle > 360 ) box.angle -= 360; return box; } cv::RotatedRect cv::fitEllipseAMS( InputArray _points ) { Mat points = _points.getMat(); int i, n = points.checkVector(2); int depth = points.depth(); CV_Assert( n >= 0 && (depth == CV_32F || depth == CV_32S)); RotatedRect box; if( n < 5 ) CV_Error( CV_StsBadSize, "There should be at least 5 points to fit the ellipse" ); Point2f c(0,0); bool is_float = depth == CV_32F; const Point* ptsi = points.ptr(); const Point2f* ptsf = points.ptr(); Mat A( n, 6, CV_64F); Matx DM; Matx M; Matx pVec; Matx coeffs; double x0, y0, a, b, theta; for( i = 0; i < n; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); c += p; } c.x /= (float)n; c.y /= (float)n; for( i = 0; i < n; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); p -= c; A.at(i,0) = (double)(p.x)*(p.x); A.at(i,1) = (double)(p.x)*(p.y); A.at(i,2) = (double)(p.y)*(p.y); A.at(i,3) = (double)p.x; A.at(i,4) = (double)p.y; A.at(i,5) = 1.0; } cv::mulTransposed( A, DM, true, noArray(), 1.0, -1 ); DM *= (1.0/n); double dnm = ( DM(2,5)*(DM(0,5) + DM(2,5)) - (DM(1,5)*DM(1,5)) ); double ddm = (4.*(DM(0,5) + DM(2,5))*( (DM(0,5)*DM(2,5)) - (DM(1,5)*DM(1,5)))); double ddmm = (2.*(DM(0,5) + DM(2,5))*( (DM(0,5)*DM(2,5)) - (DM(1,5)*DM(1,5)))); M(0,0)=((-DM(0,0) + DM(0,2) + DM(0,5)*DM(0,5))*(DM(1,5)*DM(1,5)) + (-2*DM(0,1)*DM(1,5) + DM(0,5)*(DM(0,0) \ - (DM(0,5)*DM(0,5)) + (DM(1,5)*DM(1,5))))*DM(2,5) + (DM(0,0) - (DM(0,5)*DM(0,5)))*(DM(2,5)*DM(2,5))) / ddm; M(0,1)=((DM(1,5)*DM(1,5))*(-DM(0,1) + DM(1,2) + DM(0,5)*DM(1,5)) + (DM(0,1)*DM(0,5) - ((DM(0,5)*DM(0,5)) + 2*DM(1,1))*DM(1,5) + \ (DM(1,5)*DM(1,5)*DM(1,5)))*DM(2,5) + (DM(0,1) - DM(0,5)*DM(1,5))*(DM(2,5)*DM(2,5))) / ddm; M(0,2)=(-2*DM(1,2)*DM(1,5)*DM(2,5) - DM(0,5)*(DM(2,5)*DM(2,5))*(DM(0,5) + DM(2,5)) + DM(0,2)*dnm + \ (DM(1,5)*DM(1,5))*(DM(2,2) + DM(2,5)*(DM(0,5) + DM(2,5))))/ddm; M(0,3)=(DM(1,5)*(DM(1,5)*DM(2,3) - 2*DM(1,3)*DM(2,5)) + DM(0,3)*dnm) / ddm; M(0,4)=(DM(1,5)*(DM(1,5)*DM(2,4) - 2*DM(1,4)*DM(2,5)) + DM(0,4)*dnm) / ddm; M(1,0)=(-(DM(0,2)*DM(0,5)*DM(1,5)) + (2*DM(0,1)*DM(0,5) - DM(0,0)*DM(1,5))*DM(2,5))/ddmm; M(1,1)=(-(DM(0,1)*DM(1,5)*DM(2,5)) + DM(0,5)*(-(DM(1,2)*DM(1,5)) + 2*DM(1,1)*DM(2,5)))/ddmm; M(1,2)=(-(DM(0,2)*DM(1,5)*DM(2,5)) + DM(0,5)*(-(DM(1,5)*DM(2,2)) + 2*DM(1,2)*DM(2,5)))/ddmm; M(1,3)=(-(DM(0,3)*DM(1,5)*DM(2,5)) + DM(0,5)*(-(DM(1,5)*DM(2,3)) + 2*DM(1,3)*DM(2,5)))/ddmm; M(1,4)=(-(DM(0,4)*DM(1,5)*DM(2,5)) + DM(0,5)*(-(DM(1,5)*DM(2,4)) + 2*DM(1,4)*DM(2,5)))/ddmm; M(2,0)=(-2*DM(0,1)*DM(0,5)*DM(1,5) + (DM(0,0) + (DM(0,5)*DM(0,5)))*(DM(1,5)*DM(1,5)) + DM(0,5)*(-(DM(0,5)*DM(0,5)) \ + (DM(1,5)*DM(1,5)))*DM(2,5) - (DM(0,5)*DM(0,5))*(DM(2,5)*DM(2,5)) + DM(0,2)*(-(DM(1,5)*DM(1,5)) + DM(0,5)*(DM(0,5) + DM(2,5)))) / ddm; M(2,1)=((DM(0,5)*DM(0,5))*(DM(1,2) - DM(1,5)*DM(2,5)) + (DM(1,5)*DM(1,5))*(DM(0,1) - DM(1,2) + DM(1,5)*DM(2,5)) \ + DM(0,5)*(DM(1,2)*DM(2,5) + DM(1,5)*(-2*DM(1,1) + (DM(1,5)*DM(1,5)) - (DM(2,5)*DM(2,5))))) / ddm; M(2,2)=((DM(0,5)*DM(0,5))*(DM(2,2) - (DM(2,5)*DM(2,5))) + (DM(1,5)*DM(1,5))*(DM(0,2) - DM(2,2) + (DM(2,5)*DM(2,5))) + \ DM(0,5)*(-2*DM(1,2)*DM(1,5) + DM(2,5)*((DM(1,5)*DM(1,5)) + DM(2,2) - (DM(2,5)*DM(2,5))))) / ddm; M(2,3)=((DM(1,5)*DM(1,5))*(DM(0,3) - DM(2,3)) + (DM(0,5)*DM(0,5))*DM(2,3) + DM(0,5)*(-2*DM(1,3)*DM(1,5) + DM(2,3)*DM(2,5))) / ddm; M(2,4)=((DM(1,5)*DM(1,5))*(DM(0,4) - DM(2,4)) + (DM(0,5)*DM(0,5))*DM(2,4) + DM(0,5)*(-2*DM(1,4)*DM(1,5) + DM(2,4)*DM(2,5))) / ddm; M(3,0)=DM(0,3); M(3,1)=DM(1,3); M(3,2)=DM(2,3); M(3,3)=DM(3,3); M(3,4)=DM(3,4); M(4,0)=DM(0,4); M(4,1)=DM(1,4); M(4,2)=DM(2,4); M(4,3)=DM(3,4); M(4,4)=DM(4,4); if (fabs(cv::determinant(M)) > 1.0e-10) { Mat eVal, eVec; eigenNonSymmetric(M, eVal, eVec); // Select the eigen vector {a,b,c,d,e} which has the lowest eigenvalue int minpos = 0; double normi, normEVali, normMinpos, normEValMinpos; normMinpos = sqrt(eVec.at(0,minpos)*eVec.at(0,minpos) + eVec.at(1,minpos)*eVec.at(1,minpos) + \ eVec.at(2,minpos)*eVec.at(2,minpos) + eVec.at(3,minpos)*eVec.at(3,minpos) + \ eVec.at(4,minpos)*eVec.at(4,minpos) ); normEValMinpos = eVal.at(0,minpos) * normMinpos; for (i=1; i<5; i++) { normi = sqrt(eVec.at(0,i)*eVec.at(0,i) + eVec.at(1,i)*eVec.at(1,i) + \ eVec.at(2,i)*eVec.at(2,i) + eVec.at(3,i)*eVec.at(3,i) + \ eVec.at(4,i)*eVec.at(4,i) ); normEVali = eVal.at(0,i) * normi; if (normEVali < normEValMinpos) { minpos = i; normMinpos=normi; normEValMinpos=normEVali; } }; pVec(0) =eVec.at(0,minpos) / normMinpos; pVec(1) =eVec.at(1,minpos) / normMinpos; pVec(2) =eVec.at(2,minpos) / normMinpos; pVec(3) =eVec.at(3,minpos) / normMinpos; pVec(4) =eVec.at(4,minpos) / normMinpos; coeffs(0) =pVec(0) ; coeffs(1) =pVec(1) ; coeffs(2) =pVec(2) ; coeffs(3) =pVec(3) ; coeffs(4) =pVec(4) ; coeffs(5) =-pVec(0) *DM(0,5)-pVec(1) *DM(1,5)-coeffs(2) *DM(2,5); // Check that an elliptical solution has been found. AMS sometimes produces Parabolic solutions. bool is_ellipse = (coeffs(0) < 0 && \ coeffs(2) < (coeffs(1) *coeffs(1) )/(4.*coeffs(0) ) && \ coeffs(5) > (-(coeffs(2) *(coeffs(3) *coeffs(3) )) + coeffs(1) *coeffs(3) *coeffs(4) - coeffs(0) *(coeffs(4) *coeffs(4) )) / \ ((coeffs(1) *coeffs(1) ) - 4*coeffs(0) *coeffs(2) )) || \ (coeffs(0) > 0 && \ coeffs(2) > (coeffs(1) *coeffs(1) )/(4.*coeffs(0) ) && \ coeffs(5) < (-(coeffs(2) *(coeffs(3) *coeffs(3) )) + coeffs(1) *coeffs(3) *coeffs(4) - coeffs(0) *(coeffs(4) *coeffs(4) )) / \ ( (coeffs(1) *coeffs(1) ) - 4*coeffs(0) *coeffs(2) )); if (is_ellipse) { double u1 = pVec(2) *pVec(3) *pVec(3) - pVec(1) *pVec(3) *pVec(4) + pVec(0) *pVec(4) *pVec(4) + pVec(1) *pVec(1) *coeffs(5) ; double u2 = pVec(0) *pVec(2) *coeffs(5) ; double l1 = sqrt(pVec(1) *pVec(1) + (pVec(0) - pVec(2) )*(pVec(0) - pVec(2) )); double l2 = pVec(0) + pVec(2) ; double l3 = pVec(1) *pVec(1) - 4.0*pVec(0) *pVec(2) ; double p1 = 2.0*pVec(2) *pVec(3) - pVec(1) *pVec(4) ; double p2 = 2.0*pVec(0) *pVec(4) -(pVec(1) *pVec(3) ); x0 = p1/l3 + c.x; y0 = p2/l3 + c.y; a = sqrt(2)*sqrt((u1 - 4.0*u2)/((l1 - l2)*l3)); b = sqrt(2)*sqrt(-1.0*((u1 - 4.0*u2)/((l1 + l2)*l3))); if (pVec(1) == 0) { if (pVec(0) < pVec(2) ) { theta = 0; } else { theta = CV_PI/2.; } } else { theta = CV_PI/2. + 0.5*std::atan2(pVec(1) , (pVec(0) - pVec(2) )); } box.center.x = (float)x0; // +c.x; box.center.y = (float)y0; // +c.y; box.size.width = (float)(2.0*a); box.size.height = (float)(2.0*b); if( box.size.width > box.size.height ) { float tmp; CV_SWAP( box.size.width, box.size.height, tmp ); box.angle = (float)(90 + theta*180/CV_PI); } else { box.angle = (float)(fmod(theta*180/CV_PI,180.0)); }; } else { box = cv::fitEllipseDirect( points ); } } else { box = cv::fitEllipse( points ); } return box; } cv::RotatedRect cv::fitEllipseDirect( InputArray _points ) { Mat points = _points.getMat(); int i, n = points.checkVector(2); int depth = points.depth(); CV_Assert( n >= 0 && (depth == CV_32F || depth == CV_32S)); RotatedRect box; if( n < 5 ) CV_Error( CV_StsBadSize, "There should be at least 5 points to fit the ellipse" ); Point2f c(0,0); bool is_float = (depth == CV_32F); const Point* ptsi = points.ptr(); const Point2f* ptsf = points.ptr(); Mat A( n, 6, CV_64F); Matx DM; Matx33d M, TM, Q; Matx pVec; double x0, y0, a, b, theta, Ts; for( i = 0; i < n; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); c += p; } c.x /= (float)n; c.y /= (float)n; for( i = 0; i < n; i++ ) { Point2f p = is_float ? ptsf[i] : Point2f((float)ptsi[i].x, (float)ptsi[i].y); p -= c; A.at(i,0) = (double)(p.x)*(p.x); A.at(i,1) = (double)(p.x)*(p.y); A.at(i,2) = (double)(p.y)*(p.y); A.at(i,3) = (double)p.x; A.at(i,4) = (double)p.y; A.at(i,5) = 1.0; } cv::mulTransposed( A, DM, true, noArray(), 1.0, -1 ); DM *= (1.0/n); TM(0,0) = DM(0,5)*DM(3,5)*DM(4,4) - DM(0,5)*DM(3,4)*DM(4,5) - DM(0,4)*DM(3,5)*DM(5,4) + \ DM(0,3)*DM(4,5)*DM(5,4) + DM(0,4)*DM(3,4)*DM(5,5) - DM(0,3)*DM(4,4)*DM(5,5); TM(0,1) = DM(1,5)*DM(3,5)*DM(4,4) - DM(1,5)*DM(3,4)*DM(4,5) - DM(1,4)*DM(3,5)*DM(5,4) + \ DM(1,3)*DM(4,5)*DM(5,4) + DM(1,4)*DM(3,4)*DM(5,5) - DM(1,3)*DM(4,4)*DM(5,5); TM(0,2) = DM(2,5)*DM(3,5)*DM(4,4) - DM(2,5)*DM(3,4)*DM(4,5) - DM(2,4)*DM(3,5)*DM(5,4) + \ DM(2,3)*DM(4,5)*DM(5,4) + DM(2,4)*DM(3,4)*DM(5,5) - DM(2,3)*DM(4,4)*DM(5,5); TM(1,0) = DM(0,5)*DM(3,3)*DM(4,5) - DM(0,5)*DM(3,5)*DM(4,3) + DM(0,4)*DM(3,5)*DM(5,3) - \ DM(0,3)*DM(4,5)*DM(5,3) - DM(0,4)*DM(3,3)*DM(5,5) + DM(0,3)*DM(4,3)*DM(5,5); TM(1,1) = DM(1,5)*DM(3,3)*DM(4,5) - DM(1,5)*DM(3,5)*DM(4,3) + DM(1,4)*DM(3,5)*DM(5,3) - \ DM(1,3)*DM(4,5)*DM(5,3) - DM(1,4)*DM(3,3)*DM(5,5) + DM(1,3)*DM(4,3)*DM(5,5); TM(1,2) = DM(2,5)*DM(3,3)*DM(4,5) - DM(2,5)*DM(3,5)*DM(4,3) + DM(2,4)*DM(3,5)*DM(5,3) - \ DM(2,3)*DM(4,5)*DM(5,3) - DM(2,4)*DM(3,3)*DM(5,5) + DM(2,3)*DM(4,3)*DM(5,5); TM(2,0) = DM(0,5)*DM(3,4)*DM(4,3) - DM(0,5)*DM(3,3)*DM(4,4) - DM(0,4)*DM(3,4)*DM(5,3) + \ DM(0,3)*DM(4,4)*DM(5,3) + DM(0,4)*DM(3,3)*DM(5,4) - DM(0,3)*DM(4,3)*DM(5,4); TM(2,1) = DM(1,5)*DM(3,4)*DM(4,3) - DM(1,5)*DM(3,3)*DM(4,4) - DM(1,4)*DM(3,4)*DM(5,3) + \ DM(1,3)*DM(4,4)*DM(5,3) + DM(1,4)*DM(3,3)*DM(5,4) - DM(1,3)*DM(4,3)*DM(5,4); TM(2,2) = DM(2,5)*DM(3,4)*DM(4,3) - DM(2,5)*DM(3,3)*DM(4,4) - DM(2,4)*DM(3,4)*DM(5,3) + \ DM(2,3)*DM(4,4)*DM(5,3) + DM(2,4)*DM(3,3)*DM(5,4) - DM(2,3)*DM(4,3)*DM(5,4); Ts=(-(DM(3,5)*DM(4,4)*DM(5,3)) + DM(3,4)*DM(4,5)*DM(5,3) + DM(3,5)*DM(4,3)*DM(5,4) - \ DM(3,3)*DM(4,5)*DM(5,4) - DM(3,4)*DM(4,3)*DM(5,5) + DM(3,3)*DM(4,4)*DM(5,5)); M(0,0) = (DM(2,0) + (DM(2,3)*TM(0,0) + DM(2,4)*TM(1,0) + DM(2,5)*TM(2,0))/Ts)/2.; M(0,1) = (DM(2,1) + (DM(2,3)*TM(0,1) + DM(2,4)*TM(1,1) + DM(2,5)*TM(2,1))/Ts)/2.; M(0,2) = (DM(2,2) + (DM(2,3)*TM(0,2) + DM(2,4)*TM(1,2) + DM(2,5)*TM(2,2))/Ts)/2.; M(1,0) = -DM(1,0) - (DM(1,3)*TM(0,0) + DM(1,4)*TM(1,0) + DM(1,5)*TM(2,0))/Ts; M(1,1) = -DM(1,1) - (DM(1,3)*TM(0,1) + DM(1,4)*TM(1,1) + DM(1,5)*TM(2,1))/Ts; M(1,2) = -DM(1,2) - (DM(1,3)*TM(0,2) + DM(1,4)*TM(1,2) + DM(1,5)*TM(2,2))/Ts; M(2,0) = (DM(0,0) + (DM(0,3)*TM(0,0) + DM(0,4)*TM(1,0) + DM(0,5)*TM(2,0))/Ts)/2.; M(2,1) = (DM(0,1) + (DM(0,3)*TM(0,1) + DM(0,4)*TM(1,1) + DM(0,5)*TM(2,1))/Ts)/2.; M(2,2) = (DM(0,2) + (DM(0,3)*TM(0,2) + DM(0,4)*TM(1,2) + DM(0,5)*TM(2,2))/Ts)/2.; if (fabs(cv::determinant(M)) > 1.0e-10) { Mat eVal, eVec; eigenNonSymmetric(M, eVal, eVec); // Select the eigen vector {a,b,c} which satisfies 4ac-b^2 > 0 double cond[3]; cond[0]=(4.0 * eVec.at(0,0) * eVec.at(2,0) - eVec.at(1,0) * eVec.at(1,0)); cond[1]=(4.0 * eVec.at(0,1) * eVec.at(2,1) - eVec.at(1,1) * eVec.at(1,1)); cond[2]=(4.0 * eVec.at(0,2) * eVec.at(2,2) - eVec.at(1,2) * eVec.at(1,2)); if (cond[0](0,i)*eVec.at(0,i) + eVec.at(1,i)*eVec.at(1,i) + eVec.at(2,i)*eVec.at(2,i)); if (((eVec.at(0,i)<0.0 ? -1 : 1) * (eVec.at(1,i)<0.0 ? -1 : 1) * (eVec.at(2,i)<0.0 ? -1 : 1)) <= 0.0) { norm=-1.0*norm; } pVec(0) =eVec.at(0,i)/norm; pVec(1) =eVec.at(1,i)/norm;pVec(2) =eVec.at(2,i)/norm; // Q = (TM . pVec)/Ts; Q(0,0) = (TM(0,0)*pVec(0) +TM(0,1)*pVec(1) +TM(0,2)*pVec(2) )/Ts; Q(0,1) = (TM(1,0)*pVec(0) +TM(1,1)*pVec(1) +TM(1,2)*pVec(2) )/Ts; Q(0,2) = (TM(2,0)*pVec(0) +TM(2,1)*pVec(1) +TM(2,2)*pVec(2) )/Ts; // We compute the ellipse properties in the shifted coordinates as doing so improves the numerical accuracy. double u1 = pVec(2)*Q(0,0)*Q(0,0) - pVec(1)*Q(0,0)*Q(0,1) + pVec(0)*Q(0,1)*Q(0,1) + pVec(1)*pVec(1)*Q(0,2); double u2 = pVec(0)*pVec(2)*Q(0,2); double l1 = sqrt(pVec(1)*pVec(1) + (pVec(0) - pVec(2))*(pVec(0) - pVec(2))); double l2 = pVec(0) + pVec(2) ; double l3 = pVec(1)*pVec(1) - 4*pVec(0)*pVec(2) ; double p1 = 2*pVec(2)*Q(0,0) - pVec(1)*Q(0,1); double p2 = 2*pVec(0)*Q(0,1) - pVec(1)*Q(0,0); x0 = p1/l3 + c.x; y0 = p2/l3 + c.y; a = sqrt(2)*sqrt((u1 - 4.0*u2)/((l1 - l2)*l3)); b = sqrt(2)*sqrt(-1.0*((u1 - 4.0*u2)/((l1 + l2)*l3))); if (pVec(1) == 0) { if (pVec(0) < pVec(2) ) { theta = 0; } else { theta = CV_PI/2.; } } else { theta = CV_PI/2. + 0.5*std::atan2(pVec(1) , (pVec(0) - pVec(2) )); } box.center.x = (float)x0; box.center.y = (float)y0; box.size.width = (float)(2.0*a); box.size.height = (float)(2.0*b); if( box.size.width > box.size.height ) { float tmp; CV_SWAP( box.size.width, box.size.height, tmp ); box.angle = (float)(fmod((90 + theta*180/CV_PI),180.0)) ; } else { box.angle = (float)(fmod(theta*180/CV_PI,180.0)); }; } else { box = cv::fitEllipse( points ); } return box; } namespace cv { // Calculates bounding rectagnle of a point set or retrieves already calculated static Rect pointSetBoundingRect( const Mat& points ) { int npoints = points.checkVector(2); int depth = points.depth(); CV_Assert(npoints >= 0 && (depth == CV_32F || depth == CV_32S)); int xmin = 0, ymin = 0, xmax = -1, ymax = -1, i; bool is_float = depth == CV_32F; if( npoints == 0 ) return Rect(); const Point* pts = points.ptr(); Point pt = pts[0]; #if CV_SSE4_2 if(cv::checkHardwareSupport(CV_CPU_SSE4_2)) { if( !is_float ) { __m128i minval, maxval; minval = maxval = _mm_loadl_epi64((const __m128i*)(&pt)); //min[0]=pt.x, min[1]=pt.y for( i = 1; i < npoints; i++ ) { __m128i ptXY = _mm_loadl_epi64((const __m128i*)&pts[i]); minval = _mm_min_epi32(ptXY, minval); maxval = _mm_max_epi32(ptXY, maxval); } xmin = _mm_cvtsi128_si32(minval); ymin = _mm_cvtsi128_si32(_mm_srli_si128(minval, 4)); xmax = _mm_cvtsi128_si32(maxval); ymax = _mm_cvtsi128_si32(_mm_srli_si128(maxval, 4)); } else { __m128 minvalf, maxvalf, z = _mm_setzero_ps(), ptXY = _mm_setzero_ps(); minvalf = maxvalf = _mm_loadl_pi(z, (const __m64*)(&pt)); for( i = 1; i < npoints; i++ ) { ptXY = _mm_loadl_pi(ptXY, (const __m64*)&pts[i]); minvalf = _mm_min_ps(minvalf, ptXY); maxvalf = _mm_max_ps(maxvalf, ptXY); } float xyminf[2], xymaxf[2]; _mm_storel_pi((__m64*)xyminf, minvalf); _mm_storel_pi((__m64*)xymaxf, maxvalf); xmin = cvFloor(xyminf[0]); ymin = cvFloor(xyminf[1]); xmax = cvFloor(xymaxf[0]); ymax = cvFloor(xymaxf[1]); } } else #endif { if( !is_float ) { xmin = xmax = pt.x; ymin = ymax = pt.y; for( i = 1; i < npoints; i++ ) { pt = pts[i]; if( xmin > pt.x ) xmin = pt.x; if( xmax < pt.x ) xmax = pt.x; if( ymin > pt.y ) ymin = pt.y; if( ymax < pt.y ) ymax = pt.y; } } else { Cv32suf v; // init values xmin = xmax = CV_TOGGLE_FLT(pt.x); ymin = ymax = CV_TOGGLE_FLT(pt.y); for( i = 1; i < npoints; i++ ) { pt = pts[i]; pt.x = CV_TOGGLE_FLT(pt.x); pt.y = CV_TOGGLE_FLT(pt.y); if( xmin > pt.x ) xmin = pt.x; if( xmax < pt.x ) xmax = pt.x; if( ymin > pt.y ) ymin = pt.y; if( ymax < pt.y ) ymax = pt.y; } v.i = CV_TOGGLE_FLT(xmin); xmin = cvFloor(v.f); v.i = CV_TOGGLE_FLT(ymin); ymin = cvFloor(v.f); // because right and bottom sides of the bounding rectangle are not inclusive // (note +1 in width and height calculation below), cvFloor is used here instead of cvCeil v.i = CV_TOGGLE_FLT(xmax); xmax = cvFloor(v.f); v.i = CV_TOGGLE_FLT(ymax); ymax = cvFloor(v.f); } } return Rect(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1); } static Rect maskBoundingRect( const Mat& img ) { CV_Assert( img.depth() <= CV_8S && img.channels() == 1 ); Size size = img.size(); int xmin = size.width, ymin = -1, xmax = -1, ymax = -1, i, j, k; for( i = 0; i < size.height; i++ ) { const uchar* _ptr = img.ptr(i); const uchar* ptr = (const uchar*)alignPtr(_ptr, 4); int have_nz = 0, k_min, offset = (int)(ptr - _ptr); j = 0; offset = MIN(offset, size.width); for( ; j < offset; j++ ) if( _ptr[j] ) { have_nz = 1; break; } if( j < offset ) { if( j < xmin ) xmin = j; if( j > xmax ) xmax = j; } if( offset < size.width ) { xmin -= offset; xmax -= offset; size.width -= offset; j = 0; for( ; j <= xmin - 4; j += 4 ) if( *((int*)(ptr+j)) ) break; for( ; j < xmin; j++ ) if( ptr[j] ) { xmin = j; if( j > xmax ) xmax = j; have_nz = 1; break; } k_min = MAX(j-1, xmax); k = size.width - 1; for( ; k > k_min && (k&3) != 3; k-- ) if( ptr[k] ) break; if( k > k_min && (k&3) == 3 ) { for( ; k > k_min+3; k -= 4 ) if( *((int*)(ptr+k-3)) ) break; } for( ; k > k_min; k-- ) if( ptr[k] ) { xmax = k; have_nz = 1; break; } if( !have_nz ) { j &= ~3; for( ; j <= k - 3; j += 4 ) if( *((int*)(ptr+j)) ) break; for( ; j <= k; j++ ) if( ptr[j] ) { have_nz = 1; break; } } xmin += offset; xmax += offset; size.width += offset; } if( have_nz ) { if( ymin < 0 ) ymin = i; ymax = i; } } if( xmin >= size.width ) xmin = ymin = 0; return Rect(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1); } } cv::Rect cv::boundingRect(InputArray array) { CV_INSTRUMENT_REGION() Mat m = array.getMat(); return m.depth() <= CV_8U ? maskBoundingRect(m) : pointSetBoundingRect(m); } ////////////////////////////////////////////// C API /////////////////////////////////////////// CV_IMPL int cvMinEnclosingCircle( const void* array, CvPoint2D32f * _center, float *_radius ) { cv::AutoBuffer abuf; cv::Mat points = cv::cvarrToMat(array, false, false, 0, &abuf); cv::Point2f center; float radius; cv::minEnclosingCircle(points, center, radius); if(_center) *_center = center; if(_radius) *_radius = radius; return 1; } static void icvMemCopy( double **buf1, double **buf2, double **buf3, int *b_max ) { CV_Assert( (*buf1 != NULL || *buf2 != NULL) && *buf3 != NULL ); int bb = *b_max; if( *buf2 == NULL ) { *b_max = 2 * (*b_max); *buf2 = (double *)cvAlloc( (*b_max) * sizeof( double )); memcpy( *buf2, *buf3, bb * sizeof( double )); *buf3 = *buf2; cvFree( buf1 ); *buf1 = NULL; } else { *b_max = 2 * (*b_max); *buf1 = (double *) cvAlloc( (*b_max) * sizeof( double )); memcpy( *buf1, *buf3, bb * sizeof( double )); *buf3 = *buf1; cvFree( buf2 ); *buf2 = NULL; } } /* area of a contour sector */ static double icvContourSecArea( CvSeq * contour, CvSlice slice ) { CvPoint pt; /* pointer to points */ CvPoint pt_s, pt_e; /* first and last points */ CvSeqReader reader; /* points reader of contour */ int p_max = 2, p_ind; int lpt, flag, i; double a00; /* unnormalized moments m00 */ double xi, yi, xi_1, yi_1, x0, y0, dxy, sk, sk1, t; double x_s, y_s, nx, ny, dx, dy, du, dv; double eps = 1.e-5; double *p_are1, *p_are2, *p_are; double area = 0; CV_Assert( contour != NULL && CV_IS_SEQ_POINT_SET( contour )); lpt = cvSliceLength( slice, contour ); /*if( n2 >= n1 ) lpt = n2 - n1 + 1; else lpt = contour->total - n1 + n2 + 1;*/ if( contour->total <= 0 || lpt <= 2 ) return 0.; a00 = x0 = y0 = xi_1 = yi_1 = 0; sk1 = 0; flag = 0; dxy = 0; p_are1 = (double *) cvAlloc( p_max * sizeof( double )); p_are = p_are1; p_are2 = NULL; cvStartReadSeq( contour, &reader, 0 ); cvSetSeqReaderPos( &reader, slice.start_index ); CV_READ_SEQ_ELEM( pt_s, reader ); p_ind = 0; cvSetSeqReaderPos( &reader, slice.end_index ); CV_READ_SEQ_ELEM( pt_e, reader ); /* normal coefficients */ nx = pt_s.y - pt_e.y; ny = pt_e.x - pt_s.x; cvSetSeqReaderPos( &reader, slice.start_index ); while( lpt-- > 0 ) { CV_READ_SEQ_ELEM( pt, reader ); if( flag == 0 ) { xi_1 = (double) pt.x; yi_1 = (double) pt.y; x0 = xi_1; y0 = yi_1; sk1 = 0; flag = 1; } else { xi = (double) pt.x; yi = (double) pt.y; /**************** edges intersection examination **************************/ sk = nx * (xi - pt_s.x) + ny * (yi - pt_s.y); if( (fabs( sk ) < eps && lpt > 0) || sk * sk1 < -eps ) { if( fabs( sk ) < eps ) { dxy = xi_1 * yi - xi * yi_1; a00 = a00 + dxy; dxy = xi * y0 - x0 * yi; a00 = a00 + dxy; if( p_ind >= p_max ) icvMemCopy( &p_are1, &p_are2, &p_are, &p_max ); p_are[p_ind] = a00 / 2.; p_ind++; a00 = 0; sk1 = 0; x0 = xi; y0 = yi; dxy = 0; } else { /* define intersection point */ dv = yi - yi_1; du = xi - xi_1; dx = ny; dy = -nx; if( fabs( du ) > eps ) t = ((yi_1 - pt_s.y) * du + dv * (pt_s.x - xi_1)) / (du * dy - dx * dv); else t = (xi_1 - pt_s.x) / dx; if( t > eps && t < 1 - eps ) { x_s = pt_s.x + t * dx; y_s = pt_s.y + t * dy; dxy = xi_1 * y_s - x_s * yi_1; a00 += dxy; dxy = x_s * y0 - x0 * y_s; a00 += dxy; if( p_ind >= p_max ) icvMemCopy( &p_are1, &p_are2, &p_are, &p_max ); p_are[p_ind] = a00 / 2.; p_ind++; a00 = 0; sk1 = 0; x0 = x_s; y0 = y_s; dxy = x_s * yi - xi * y_s; } } } else dxy = xi_1 * yi - xi * yi_1; a00 += dxy; xi_1 = xi; yi_1 = yi; sk1 = sk; } } xi = x0; yi = y0; dxy = xi_1 * yi - xi * yi_1; a00 += dxy; if( p_ind >= p_max ) icvMemCopy( &p_are1, &p_are2, &p_are, &p_max ); p_are[p_ind] = a00 / 2.; p_ind++; // common area calculation area = 0; for( i = 0; i < p_ind; i++ ) area += fabs( p_are[i] ); if( p_are1 != NULL ) cvFree( &p_are1 ); else if( p_are2 != NULL ) cvFree( &p_are2 ); return area; } /* external contour area function */ CV_IMPL double cvContourArea( const void *array, CvSlice slice, int oriented ) { double area = 0; CvContour contour_header; CvSeq* contour = 0; CvSeqBlock block; if( CV_IS_SEQ( array )) { contour = (CvSeq*)array; if( !CV_IS_SEQ_POLYLINE( contour )) CV_Error( CV_StsBadArg, "Unsupported sequence type" ); } else { contour = cvPointSeqFromMat( CV_SEQ_KIND_CURVE, array, &contour_header, &block ); } if( cvSliceLength( slice, contour ) == contour->total ) { cv::AutoBuffer abuf; cv::Mat points = cv::cvarrToMat(contour, false, false, 0, &abuf); return cv::contourArea( points, oriented !=0 ); } if( CV_SEQ_ELTYPE( contour ) != CV_32SC2 ) CV_Error( CV_StsUnsupportedFormat, "Only curves with integer coordinates are supported in case of contour slice" ); area = icvContourSecArea( contour, slice ); return oriented ? area : fabs(area); } /* calculates length of a curve (e.g. contour perimeter) */ CV_IMPL double cvArcLength( const void *array, CvSlice slice, int is_closed ) { double perimeter = 0; int i, j = 0, count; const int N = 16; float buf[N]; CvMat buffer = cvMat( 1, N, CV_32F, buf ); CvSeqReader reader; CvContour contour_header; CvSeq* contour = 0; CvSeqBlock block; if( CV_IS_SEQ( array )) { contour = (CvSeq*)array; if( !CV_IS_SEQ_POLYLINE( contour )) CV_Error( CV_StsBadArg, "Unsupported sequence type" ); if( is_closed < 0 ) is_closed = CV_IS_SEQ_CLOSED( contour ); } else { is_closed = is_closed > 0; contour = cvPointSeqFromMat( CV_SEQ_KIND_CURVE | (is_closed ? CV_SEQ_FLAG_CLOSED : 0), array, &contour_header, &block ); } if( contour->total > 1 ) { int is_float = CV_SEQ_ELTYPE( contour ) == CV_32FC2; cvStartReadSeq( contour, &reader, 0 ); cvSetSeqReaderPos( &reader, slice.start_index ); count = cvSliceLength( slice, contour ); count -= !is_closed && count == contour->total; // scroll the reader by 1 point reader.prev_elem = reader.ptr; CV_NEXT_SEQ_ELEM( sizeof(CvPoint), reader ); for( i = 0; i < count; i++ ) { float dx, dy; if( !is_float ) { CvPoint* pt = (CvPoint*)reader.ptr; CvPoint* prev_pt = (CvPoint*)reader.prev_elem; dx = (float)pt->x - (float)prev_pt->x; dy = (float)pt->y - (float)prev_pt->y; } else { CvPoint2D32f* pt = (CvPoint2D32f*)reader.ptr; CvPoint2D32f* prev_pt = (CvPoint2D32f*)reader.prev_elem; dx = pt->x - prev_pt->x; dy = pt->y - prev_pt->y; } reader.prev_elem = reader.ptr; CV_NEXT_SEQ_ELEM( contour->elem_size, reader ); // Bugfix by Axel at rubico.com 2010-03-22, affects closed slices only // wraparound not handled by CV_NEXT_SEQ_ELEM if( is_closed && i == count - 2 ) cvSetSeqReaderPos( &reader, slice.start_index ); buffer.data.fl[j] = dx * dx + dy * dy; if( ++j == N || i == count - 1 ) { buffer.cols = j; cvPow( &buffer, &buffer, 0.5 ); for( ; j > 0; j-- ) perimeter += buffer.data.fl[j-1]; } } } return perimeter; } CV_IMPL CvBox2D cvFitEllipse2( const CvArr* array ) { cv::AutoBuffer abuf; cv::Mat points = cv::cvarrToMat(array, false, false, 0, &abuf); return cv::fitEllipse(points); } /* Calculates bounding rectagnle of a point set or retrieves already calculated */ CV_IMPL CvRect cvBoundingRect( CvArr* array, int update ) { CvRect rect; CvContour contour_header; CvSeq* ptseq = 0; CvSeqBlock block; CvMat stub, *mat = 0; int calculate = update; if( CV_IS_SEQ( array )) { ptseq = (CvSeq*)array; if( !CV_IS_SEQ_POINT_SET( ptseq )) CV_Error( CV_StsBadArg, "Unsupported sequence type" ); if( ptseq->header_size < (int)sizeof(CvContour)) { update = 0; calculate = 1; } } else { mat = cvGetMat( array, &stub ); if( CV_MAT_TYPE(mat->type) == CV_32SC2 || CV_MAT_TYPE(mat->type) == CV_32FC2 ) { ptseq = cvPointSeqFromMat(CV_SEQ_KIND_GENERIC, mat, &contour_header, &block); mat = 0; } else if( CV_MAT_TYPE(mat->type) != CV_8UC1 && CV_MAT_TYPE(mat->type) != CV_8SC1 ) CV_Error( CV_StsUnsupportedFormat, "The image/matrix format is not supported by the function" ); update = 0; calculate = 1; } if( !calculate ) return ((CvContour*)ptseq)->rect; if( mat ) { rect = cv::maskBoundingRect(cv::cvarrToMat(mat)); } else if( ptseq->total ) { cv::AutoBuffer abuf; rect = cv::pointSetBoundingRect(cv::cvarrToMat(ptseq, false, false, 0, &abuf)); } if( update ) ((CvContour*)ptseq)->rect = rect; return rect; } /* End of file. */