我尝试了很多方法，然后我决定自己写。就是这样:

bool IsBetween (float x, float b1, float b2)
{
   return ( ((x >= (b1 - 0.1f)) && 
        (x <= (b2 + 0.1f))) || 
        ((x >= (b2 - 0.1f)) &&
        (x <= (b1 + 0.1f))));
}

bool IsSegmentsColliding(   POINTFLOAT lineA,
                POINTFLOAT lineB,
                POINTFLOAT line2A,
                POINTFLOAT line2B)
{
    float deltaX1 = lineB.x - lineA.x;
    float deltaX2 = line2B.x - line2A.x;
    float deltaY1 = lineB.y - lineA.y;
    float deltaY2 = line2B.y - line2A.y;

    if (abs(deltaX1) < 0.01f && 
        abs(deltaX2) < 0.01f) // Both are vertical lines
        return false;
    if (abs((deltaY1 / deltaX1) -
        (deltaY2 / deltaX2)) < 0.001f) // Two parallel line
        return false;

    float xCol = (  (   (deltaX1 * deltaX2) * 
                        (line2A.y - lineA.y)) - 
                    (line2A.x * deltaY2 * deltaX1) + 
                    (lineA.x * deltaY1 * deltaX2)) / 
                 ((deltaY1 * deltaX2) - (deltaY2 * deltaX1));
    float yCol = 0;
    if (deltaX1 < 0.01f) // L1 is a vertical line
        yCol = ((xCol * deltaY2) + 
                (line2A.y * deltaX2) - 
                (line2A.x * deltaY2)) / deltaX2;
    else // L1 is acceptable
        yCol = ((xCol * deltaY1) +
                (lineA.y * deltaX1) -
                (lineA.x * deltaY1)) / deltaX1;

    bool isCol =    IsBetween(xCol, lineA.x, lineB.x) &&
            IsBetween(yCol, lineA.y, lineB.y) &&
            IsBetween(xCol, line2A.x, line2B.x) &&
            IsBetween(yCol, line2A.y, line2B.y);
    return isCol;
}

根据这两个公式:(由直线方程和其他公式简化而来)

有一个很好的方法来解决这个问题就是用向量叉乘。定义二维向量叉乘v × w为vx wy−vy wx。

假设这两条线段从p到p + r，从q到q + s。那么第一行上的任意点都可以表示为p + t r(对于标量参数t)，第二行上的任意点可以表示为q + u s(对于标量参数u)。

如果t和u满足以下条件，两条直线相交:

P + t r = q + u s

两边叉乘s，得到

(p + r) × s = (q + u s) × s

由于s × s = 0，这意味着

T (r × s) = (q−p) × s

因此，求解t:

T = (q−p) × s / (r × s)

同样地，我们可以解出u:

(p + r) × r = (q + u s) × r U (s × r) = (p−q) × r U = (p−q) × r / (s × r)

为了减少计算步骤，可以方便地将其重写为以下形式(记住s × r =−r × s):

U = q−p × r / (r × s)

现在有四种情况:

If r × s = 0 and (q − p) × r = 0, then the two lines are collinear. In this case, express the endpoints of the second segment (q and q + s) in terms of the equation of the first line segment (p + t r): t0 = (q − p) · r / (r · r) t1 = (q + s − p) · r / (r · r) = t0 + s · r / (r · r) If the interval between t0 and t1 intersects the interval [0, 1] then the line segments are collinear and overlapping; otherwise they are collinear and disjoint. Note that if s and r point in opposite directions, then s · r < 0 and so the interval to be checked is [t1, t0] rather than [t0, t1]. If r × s = 0 and (q − p) × r ≠ 0, then the two lines are parallel and non-intersecting. If r × s ≠ 0 and 0 ≤ t ≤ 1 and 0 ≤ u ≤ 1, the two line segments meet at the point p + t r = q + u s. Otherwise, the two line segments are not parallel but do not intersect.

来源:该方法是3D线相交算法的2维专门化，来自Ronald Goldman发表在Graphics Gems，第304页的文章“三条线在三维空间中的相交”。在三维空间中，通常的情况是直线是倾斜的(既不平行也不相交)，在这种情况下，该方法给出了两条直线最接近的点。

问题可以简化成这样一个问题:从A到B和从C到D的两条直线相交吗?然后你可以问它四次(在直线和矩形的四条边之间)。

这是做这个的矢量数学。假设A到B的直线就是问题中的直线C到D的直线是其中一条矩形直线。我的表示法是Ax是A的x坐标Cy是c的y坐标“*”表示点积，例如A*B = Ax*Bx + Ay*By。

E = B-A = ( Bx-Ax, By-Ay )
F = D-C = ( Dx-Cx, Dy-Cy ) 
P = ( -Ey, Ex )
h = ( (A-C) * P ) / ( F * P )

h是键。如果h在0和1之间，两条线相交，否则不相交。如果F*P为零，当然不能进行计算，但在这种情况下，直线是平行的，因此只有在明显的情况下才相交。

交点是C + F*h。

更多的乐趣:

如果h恰好等于0或1，两条直线的端点相交。你可以认为这是一个“交集”，也可以认为不是。

具体来说，h是直线长度乘以多少才能恰好与另一条直线相交。

因此，如果h<0，这意味着矩形线在给定直线的“后面”(“方向”是“从A到B”)，如果h>1，矩形线在给定直线的“前面”。

推导:

A和C是指向直线起点的向量;E和F是由A和C端点组成的直线。

对于平面上任意两条不平行线，必须恰好有一对标量g和h，使得这个方程成立:

A + E*g = C + F*h

为什么?因为两条不平行线必须相交，这意味着你可以将这两条线按一定比例缩放并相互接触。

(起初，这看起来像一个有两个未知数的方程!但当你考虑到这是一个二维矢量方程时，它就不是，这意味着这是一对x和y的方程)

我们必须消去其中一个变量。一个简单的方法是使E项为零。要做到这一点，用一个向量对方程两边做点积这个向量与E点乘到0，我把上面的向量称为P，我做了E的明显变换。

你现在有:

A*P = C*P + F*P*h
(A-C)*P = (F*P)*h
( (A-C)*P ) / (F*P) = h

iMalc回答的Python版本:

def find_intersection( p0, p1, p2, p3 ) :

    s10_x = p1[0] - p0[0]
    s10_y = p1[1] - p0[1]
    s32_x = p3[0] - p2[0]
    s32_y = p3[1] - p2[1]

    denom = s10_x * s32_y - s32_x * s10_y

    if denom == 0 : return None # collinear

    denom_is_positive = denom > 0

    s02_x = p0[0] - p2[0]
    s02_y = p0[1] - p2[1]

    s_numer = s10_x * s02_y - s10_y * s02_x

    if (s_numer < 0) == denom_is_positive : return None # no collision

    t_numer = s32_x * s02_y - s32_y * s02_x

    if (t_numer < 0) == denom_is_positive : return None # no collision

    if (s_numer > denom) == denom_is_positive or (t_numer > denom) == denom_is_positive : return None # no collision


    # collision detected

    t = t_numer / denom

    intersection_point = [ p0[0] + (t * s10_x), p0[1] + (t * s10_y) ]


    return intersection_point

许多答案把所有的计算都打包成一个函数。如果您需要计算直线斜率、y轴截距或x轴截距，以便在代码的其他地方使用，那么这些计算将是冗余的。我分离出了各自的函数，使用了明显的变量名，并注释了我的代码以使其更易于理解。我需要知道直线是否无限超出它们的端点，所以在JavaScript中:

http://jsfiddle.net/skibulk/evmqq00u/

var point_a = {x:0, y:10},
    point_b = {x:12, y:12},
    point_c = {x:10, y:0},
    point_d = {x:0, y:0},
    slope_ab = slope(point_a, point_b),
    slope_bc = slope(point_b, point_c),
    slope_cd = slope(point_c, point_d),
    slope_da = slope(point_d, point_a),
    yint_ab = y_intercept(point_a, slope_ab),
    yint_bc = y_intercept(point_b, slope_bc),
    yint_cd = y_intercept(point_c, slope_cd),
    yint_da = y_intercept(point_d, slope_da),
    xint_ab = x_intercept(point_a, slope_ab, yint_ab),
    xint_bc = x_intercept(point_b, slope_bc, yint_bc),
    xint_cd = x_intercept(point_c, slope_cd, yint_cd),
    xint_da = x_intercept(point_d, slope_da, yint_da),
    point_aa = intersect(slope_da, yint_da, xint_da, slope_ab, yint_ab, xint_ab),
    point_bb = intersect(slope_ab, yint_ab, xint_ab, slope_bc, yint_bc, xint_bc),
    point_cc = intersect(slope_bc, yint_bc, xint_bc, slope_cd, yint_cd, xint_cd),
    point_dd = intersect(slope_cd, yint_cd, xint_cd, slope_da, yint_da, xint_da);

console.log(point_a, point_b, point_c, point_d);
console.log(slope_ab, slope_bc, slope_cd, slope_da);
console.log(yint_ab, yint_bc, yint_cd, yint_da);
console.log(xint_ab, xint_bc, xint_cd, xint_da);
console.log(point_aa, point_bb, point_cc, point_dd);

function slope(point_a, point_b) {
  var i = (point_b.y - point_a.y) / (point_b.x - point_a.x);
  if (i === -Infinity) return Infinity;
  if (i === -0) return 0;
  return i;
}

function y_intercept(point, slope) {
    // Horizontal Line
    if (slope == 0) return point.y;
  // Vertical Line
    if (slope == Infinity)
  {
    // THE Y-Axis
    if (point.x == 0) return Infinity;
    // No Intercept
    return null;
  }
  // Angled Line
  return point.y - (slope * point.x);
}

function x_intercept(point, slope, yint) {
    // Vertical Line
    if (slope == Infinity) return point.x;
  // Horizontal Line
    if (slope == 0)
  {
    // THE X-Axis
    if (point.y == 0) return Infinity;
    // No Intercept
    return null;
  }
  // Angled Line
  return -yint / slope;
}

// Intersection of two infinite lines
function intersect(slope_a, yint_a, xint_a, slope_b, yint_b, xint_b) {
  if (slope_a == slope_b)
  {
    // Equal Lines
    if (yint_a == yint_b && xint_a == xint_b) return Infinity;
    // Parallel Lines
    return null;
  }
  // First Line Vertical
    if (slope_a == Infinity)
  {
    return {
        x: xint_a,
      y: (slope_b * xint_a) + yint_b
    };
  }
  // Second Line Vertical
    if (slope_b == Infinity)
  {
    return {
        x: xint_b,
      y: (slope_a * xint_b) + yint_a
    };
  }
  // Not Equal, Not Parallel, Not Vertical
  var i = (yint_b - yint_a) / (slope_a - slope_b);
  return {
    x: i,
    y: (slope_a * i) + yint_a
  };
}

基于@Gareth Rees的回答，Python版本:

import numpy as np

def np_perp( a ) :
    b = np.empty_like(a)
    b[0] = a[1]
    b[1] = -a[0]
    return b

def np_cross_product(a, b):
    return np.dot(a, np_perp(b))

def np_seg_intersect(a, b, considerCollinearOverlapAsIntersect = False):
    # https://stackoverflow.com/questions/563198/how-do-you-detect-where-two-line-segments-intersect/565282#565282
    # http://www.codeproject.com/Tips/862988/Find-the-intersection-point-of-two-line-segments
    r = a[1] - a[0]
    s = b[1] - b[0]
    v = b[0] - a[0]
    num = np_cross_product(v, r)
    denom = np_cross_product(r, s)
    # If r x s = 0 and (q - p) x r = 0, then the two lines are collinear.
    if np.isclose(denom, 0) and np.isclose(num, 0):
        # 1. If either  0 <= (q - p) * r <= r * r or 0 <= (p - q) * s <= * s
        # then the two lines are overlapping,
        if(considerCollinearOverlapAsIntersect):
            vDotR = np.dot(v, r)
            aDotS = np.dot(-v, s)
            if (0 <= vDotR  and vDotR <= np.dot(r,r)) or (0 <= aDotS  and aDotS <= np.dot(s,s)):
                return True
        # 2. If neither 0 <= (q - p) * r = r * r nor 0 <= (p - q) * s <= s * s
        # then the two lines are collinear but disjoint.
        # No need to implement this expression, as it follows from the expression above.
        return None
    if np.isclose(denom, 0) and not np.isclose(num, 0):
        # Parallel and non intersecting
        return None
    u = num / denom
    t = np_cross_product(v, s) / denom
    if u >= 0 and u <= 1 and t >= 0 and t <= 1:
        res = b[0] + (s*u)
        return res
    # Otherwise, the two line segments are not parallel but do not intersect.
    return None