1. 概述
1.1. 多边形分类
需要首先明确的是多边形的分类，第一种是最简单的凸多边形：
凸多边形的每个内角都是锐角或钝角，这种多边形最普通也最常见。如果至少存在一个角是优角(大于180度小于360度)，那么就是凹多边形了：
以上多边形有一个共同特征就是由单个环线的边界组成。如果存在一个外环和多个内环组成多边形，那么就是带洞多变形了：
如上图所示的多边形是由一个外环和两个内环组成的，两个内环造成了外环多边形的孔洞，也就是带洞多边形了。
1.2. 三角剖分
三角剖分也叫做三角化，或者分格化（tessellation/triangulation），将复杂的多边形剖分成多个三角形。这在图形学上有非常多的好处，便于绘制和计算。这类算法往往与Delaunay三角网算法相关，多边形的边界作为Delaunay三角网的边界约束，从而得到比较好的三角网。
2. 详论
我曾经在《通过CGAL将一个多边形剖分成Delaunay三角网》这篇文章中，通过CGAL实现了一个多边形的剖分，不过这个文章介绍的算法内容不支持凹多边形和带洞多边形（这也是很多其他算法实现的问题）。所以我继续翻了CGAL的官方文档，在《2D Triangulation》这一章中确实介绍了带洞多边形的三角剖分的案例。由于带洞多边形最复杂，那么我通过这个案例，来实现一下带洞多边形的三角剖分。
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
#include <CGAL/Constrained_Delaunay_triangulation_2.h>
#include <CGAL/Triangulation_face_base_with_info_2.h>
#include <CGAL/Polygon_2.h>
#include <iostream>
#include <gdal_priv.h>
#include <ogrsf_frmts.h>
struct FaceInfo2
{
FaceInfo2() {}
int nesting_level;
bool in_domain() {
return nesting_level % 2 == 1;
}
};
typedef CGAL::Exact_predicates_inexact_constructions_kernel K;
typedef CGAL::Triangulation_vertex_base_2<K> Vb;
typedef CGAL::Triangulation_face_base_with_info_2<FaceInfo2, K> Fbb;
typedef CGAL::Constrained_triangulation_face_base_2<K, Fbb> Fb;
typedef CGAL::Triangulation_data_structure_2<Vb, Fb> TDS;
typedef CGAL::Exact_predicates_tag Itag;
typedef CGAL::Constrained_Delaunay_triangulation_2<K, TDS, Itag> CDT;
typedef CDT::Point Point;
typedef CGAL::Polygon_2<K> Polygon_2;
typedef CDT::Face_handle Face_handle;
void
mark_domains(CDT& ct,
Face_handle start,
int index,
std::list<CDT::Edge>& border)
{
if (start->info().nesting_level != -1) {
return;
}
std::list<Face_handle> queue;
queue.push_back(start);
while (!queue.empty()) {
Face_handle fh = queue.front();
queue.pop_front();
if (fh->info().nesting_level == -1) {
fh->info().nesting_level = index;
for (int i = 0; i < 3; i++) {
CDT::Edge e(fh, i);
Face_handle n = fh->neighbor(i);
if (n->info().nesting_level == -1) {
if (ct.is_constrained(e)) border.push_back(e);
else queue.push_back(n);
}
}
}
}
}
//explore set of facets connected with non constrained edges,
//and attribute to each such set a nesting level.
//We start from facets incident to the infinite vertex, with a nesting
//level of 0. Then we recursively consider the non-explored facets incident
//to constrained edges bounding the former set and increase the nesting level by 1.
//Facets in the domain are those with an odd nesting level.
void
mark_domains(CDT& cdt)
{
for (CDT::Face_handle f : cdt.all_face_handles()) {
f->info().nesting_level = -1;
}
std::list<CDT::Edge> border;
mark_domains(cdt, cdt.infinite_face(), 0, border);
while (!border.empty()) {
CDT::Edge e = border.front();
border.pop_front();
Face_handle n = e.first->neighbor(e.second);
if (n->info().nesting_level == -1) {
mark_domains(cdt, n, e.first->info().nesting_level + 1, border);
}
}
}
int main()
{
//创建三个不相交的嵌套多边形
Polygon_2 polygon1;
polygon1.push_back(Point(-0.558868038740926, -0.38960351089588));
polygon1.push_back(Point(2.77833686440678, 5.37465950363197));
polygon1.push_back(Point(6.97052814769976, 8.07751967312349));
polygon1.push_back(Point(13.9207400121065, 5.65046156174335));
polygon1.push_back(Point(15.5755523607748,-1.98925544794189));
polygon1.push_back(Point(6.36376361985472, -6.18144673123487));
Polygon_2 polygon2;
polygon2.push_back(Point(2.17935556413387, 1.4555590039808));
polygon2.push_back(Point(3.75630057749723, 4.02942327866582));
polygon2.push_back(Point(5.58700685737883, 4.71820385921534));
polygon2.push_back(Point(6.54767450919789, 1.76369768475295));
polygon2.push_back(Point(5.71388749063795, -0.900795613688593));
polygon2.push_back(Point(3.21252643495814, -0.320769861646896));
Polygon_2 polygon3;
polygon3.push_back(Point(7.74397762278389, 0.821155837685192));
polygon3.push_back(Point(9.13966458863422, 4.24693293568146));
polygon3.push_back(Point(10.1909612642098, 1.83620090375816));
polygon3.push_back(Point(12.1485481773505, 4.84508449247446));
polygon3.push_back(Point(11.4416417920497, -2.29648257953892));
polygon3.push_back(Point(10.1547096547072, 0.712401009177374));
//将多边形插入受约束的三角剖分
CDT cdt;
cdt.insert_constraint(polygon1.vertices_begin(), polygon1.vertices_end(), true);
cdt.insert_constraint(polygon2.vertices_begin(), polygon2.vertices_end(), true);
cdt.insert_constraint(polygon3.vertices_begin(), polygon3.vertices_end(), true);
//标记由多边形界定的域内的面
mark_domains(cdt);
//遍历所有的面
int count = 0;
for (Face_handle f : cdt.finite_face_handles())
{
if (f->info().in_domain()) ++count;
}
std::cout << "There are " << count << " facets in the domain." << std::endl;
//将结果输出成shp文件，方便查看
{
GDALAllRegister();
GDALDriver* driver = GetGDALDriverManager()->GetDriverByName("ESRI Shapefile");
if (!driver)
{
printf("Get Driver ESRI Shapefile Error！\n");
return false;
}
const char *filePath = "D:/test.shp";
GDALDataset* dataset = driver->Create(filePath, 0, 0, 0, GDT_Unknown, NULL);
OGRLayer* poLayer = dataset->CreateLayer("test", NULL, wkbPolygon, NULL);
//创建面要素
for (Face_handle f : cdt.finite_face_handles())
{
if (f->info().in_domain())
{
OGRFeature *poFeature = new OGRFeature(poLayer->GetLayerDefn());
OGRLinearRing ogrring;
for (int i = 0; i < 3; i++)
{
ogrring.setPoint(i, f->vertex(i)->point().x(), f->vertex(i)->point().y());
}
ogrring.closeRings();
OGRPolygon polygon;
polygon.addRing(&ogrring);
poFeature->SetGeometry(&polygon);
if (poLayer->CreateFeature(poFeature) != OGRERR_NONE)
{
printf("Failed to create feature in shapefile.\n");
return false;
}
}
}
//释放
GDALClose(dataset);
dataset = nullptr;
}
return 0;
}
在代码的最后，我将生成的三角网输出成shp文件，叠加到原来的多边形中：
效果似乎不是很明显，那么我将原来的两个内环范围涂黑：
说明这个算法可以适配于凹多边形以及带洞多边形的三角网剖分，不得不说CGAL这个库真的非常强大。可惜就是这个库太难以使用了，需要一定的计算几何知识和Cpp高级特性的知识，才能运用自如，值得深入学习。