我在QT中的QGraphicsScene上绘制了一些点,并将它们封装成一个点类。我想计算并在场景中显示这些点的Voronoi图。做这个的最好方式是什么?
我在考虑使用CGAL,但我找不到一个很好的方法来做到这一点。
答案 0 :(得分:3)
您需要显示的是仅限于矩形(显示窗口)的Voronoi图。这是一种简单的方法。
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
#include <CGAL/Delaunay_triangulation_2.h>
#include <iterator>
typedef CGAL::Exact_predicates_inexact_constructions_kernel K;
typedef K::Point_2 Point_2;
typedef K::Iso_rectangle_2 Iso_rectangle_2;
typedef K::Segment_2 Segment_2;
typedef K::Ray_2 Ray_2;
typedef K::Line_2 Line_2;
typedef CGAL::Delaunay_triangulation_2<K> Delaunay_triangulation_2;
//A class to recover Voronoi diagram from stream.
//Rays, lines and segments are cropped to a rectangle
//so that only segments are stored
struct Cropped_voronoi_from_delaunay{
std::list<Segment_2> m_cropped_vd;
Iso_rectangle_2 m_bbox;
Cropped_voronoi_from_delaunay(const Iso_rectangle_2& bbox):m_bbox(bbox){}
template <class RSL>
void crop_and_extract_segment(const RSL& rsl){
CGAL::Object obj = CGAL::intersection(rsl,m_bbox);
const Segment_2* s=CGAL::object_cast<Segment_2>(&obj);
if (s) m_cropped_vd.push_back(*s);
}
void operator<<(const Ray_2& ray) { crop_and_extract_segment(ray); }
void operator<<(const Line_2& line) { crop_and_extract_segment(line); }
void operator<<(const Segment_2& seg){ crop_and_extract_segment(seg); }
};
int main(){
//consider some points
std::vector<Point_2> points;
points.push_back(Point_2(0,0));
points.push_back(Point_2(1,1));
points.push_back(Point_2(0,1));
Delaunay_triangulation_2 dt2;
//insert points into the triangulation
dt2.insert(points.begin(),points.end());
//construct a rectangle
Iso_rectangle_2 bbox(-1,-1,2,2);
Cropped_voronoi_from_delaunay vor(bbox);
//extract the cropped Voronoi diagram
dt2.draw_dual(vor);
//print the cropped Voronoi diagram as segments
std::copy(vor.m_cropped_vd.begin(),vor.m_cropped_vd.end(),
std::ostream_iterator<Segment_2>(std::cout,"\n"));
}
答案 1 :(得分:0)
如果您考虑使用CGAL库,请阅读its section about Voronoi diagrams吗?在Software Design小节中,他们解释了所涉及的数据结构。根据我的阅读,您可以获得代表Dirichlet单元格的多边形,从那里您可以告诉Qt绘制并用不同颜色填充它们(某些世界地图着色算法在这里可能很有用)。