基於matlab mex的平面點集按重心逆時針排序演算法,matlabmex
基於matlab mex的平面點集按重心逆時針排序演算法,可用於求凸集,代碼如下:
#include <mex.h>#include <mat.h>#include <stdlib.h>#include <vector>#include <algorithm>using namespace std;typedef struct PointF { int id; double x, y; PointF() { id = -1; } PointF(int id, double x, double y) : id(id), x(x), y(y) {}} PointF;typedef vector<PointF> Points;Points points;PointF cpt;bool compare(const PointF p1, const PointF p2) { //mexPrintf("%d %d\n", p1.id, p2.id); PointF a = p1, b = p2; int aid, bid; if (a.x >= cpt.x) { if (a.y <= cpt.y) aid = 1; else aid = 2; } if (a.x < cpt.x) { if (a.y >= cpt.y) aid = 3; else aid = 4; } if (b.x >= cpt.x) { if (b.y <= cpt.y) bid = 1; else bid = 2; } if (b.x < cpt.x) { if (b.y >= cpt.y) bid = 3; else bid = 4; } if (aid < bid) return true; else if (aid == bid) { if (aid == 1 || aid == 2) return a.y < b.y; if (aid == 3 || aid == 4) return a.y > b.y; } else return false;}void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) { if (nrhs != 2) { mexPrintf("Usage: 2dsort(xy_nrows_2cols, refpoint_x_y).\n"); return; } int ndim = mxGetNumberOfDimensions(prhs[0]); //mexPrintf("%d\n", ndim); const int *dims = mxGetDimensions( prhs[0] ); //mexPrintf("%d %d dims\n", dims[0], dims[1]); if (dims[1] != 2) { mexPrintf("Error: input data should be with 2 columns.\n"); return; } double *data = mxGetPr( prhs[0] ); for(int i = 0; i < dims[0]; i++) { points.push_back(PointF(i + 1, data[i], data[i + dims[0]])); //mexPrintf("*%d ", points[i].id); } double *data1 = mxGetPr( prhs[1] ); cpt.x = data1[0]; cpt.y = data1[1]; for(int i = 0; i < dims[0]; i++) { mexPrintf("%d ", points[i].id); } mexPrintf("\n"); sort(points.begin(), points.end(), compare); for(int i = 0; i < dims[0]; i++) { mexPrintf("%d ", points[i].id); } mexPrintf("\n"); nlhs = 1; plhs[0] = mxCreateDoubleMatrix(dims[0], 1, mxREAL); double *dest = mxGetPr( plhs[0] ); for(int i = 0; i < dims[0]; i++) dest[i] = points[i].id;}
mex twodsort.cpp
測試代碼:
close all;mex twodsort.cpp;N = 300;xy = rand(N, 2);ctr = sum(xy) ./ N;plot(xy(:, 1), xy(:, 2), '*r');hold on;plot(ctr(1), ctr(2), '+b');ids = twodsort(xy, ctr);ids(end + 1) = ids(1);plot(xy(ids(1), 1), xy(ids(1), 2), '.g', 'MarkerSize', 5);for i = 1:N j = i + 1; if (j > N) j = 1; end; plot([xy(ids(i), 1); xy(ids(j), 1)], [xy(ids(i), 2); xy(ids(j), 2)], '-', 'Color', [i/(N+1), 0, 0], 'LineWidth', 2);end;