sutherland-hodgman算法vc++
时间: 2023-06-14 18:05:50 浏览: 116
Sutherland-Hodgman算法是一种计算多边形交集的算法,可以用于计算裁剪和填充等应用。下面是一个使用VC++实现Sutherland-Hodgman算法的示例代码:
```c++
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
struct Point {
double x, y;
};
// 判断两个点是否在多边形的同一侧
bool SameSide(const Point& p1, const Point& p2, const Point& a, const Point& b) {
double cp1 = (b.x - a.x) * (p1.y - a.y) - (b.y - a.y) * (p1.x - a.x);
double cp2 = (b.x - a.x) * (p2.y - a.y) - (b.y - a.y) * (p2.x - a.x);
return cp1 * cp2 >= 0;
}
// 计算两个点之间的交点
Point Intersect(const Point& p1, const Point& p2, const Point& a, const Point& b) {
double u = ((a.y - b.y) * (p1.x - a.x) - (a.x - b.x) * (p1.y - a.y)) / ((b.x - a.x) * (p1.y - p2.y) - (b.y - a.y) * (p1.x - p2.x));
return { p1.x + u * (p2.x - p1.x), p1.y + u * (p2.y - p1.y) };
}
// Sutherland-Hodgman算法
vector<Point> SutherlandHodgman(const vector<Point>& subjectPolygon, const vector<Point>& clipPolygon) {
vector<Point> outputList = subjectPolygon;
for (int i = 0; i < clipPolygon.size(); i++) {
vector<Point> inputList = outputList;
outputList.clear();
Point S = clipPolygon[i];
Point E = clipPolygon[(i + 1) % clipPolygon.size()];
for (int j = 0; j < inputList.size(); j++) {
Point P = inputList[j];
Point Q = inputList[(j + 1) % inputList.size()];
if (SameSide(P, S, E, Q)) {
if (!SameSide(P, E, S, Q)) {
outputList.push_back(Intersect(P, Q, S, E));
}
outputList.push_back(Q);
}
else if (SameSide(P, E, S, Q)) {
outputList.push_back(Intersect(P, Q, S, E));
}
}
}
return outputList;
}
int main() {
vector<Point> subjectPolygon = { {0, 0}, {100, 0}, {100, 100}, {0, 100} };
vector<Point> clipPolygon = { {50, 50}, {150, 50}, {150, 150}, {50, 150} };
vector<Point> result = SutherlandHodgman(subjectPolygon, clipPolygon);
for (int i = 0; i < result.size(); i++) {
cout << "(" << result[i].x << ", " << result[i].y << ")" << endl;
}
return 0;
}
```
这个示例代码实现了一个计算矩形和正方形交集的例子。输入的两个多边形分别是`subjectPolygon`和`clipPolygon`,输出的多边形是`result`。程序的输出应该是一个四边形,表示矩形和正方形的交集。
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