Python 使用opencv为matplotlib创建的等高线计算等高线面积

Python 使用opencv为matplotlib创建的等高线计算等高线面积,python,opencv,matplotlib,contour,area,Python,Opencv,Matplotlib,Contour,Area,我需要计算一条等高线所限定的面积。我使用matplotlib获取轮廓线的顶点,但无法将它们转换为openCV中contourArea方法的有效输入: Z = z_func(X, Y, Ql, k[i,j], B) cs = plt.contour(X, Y, Z,[IncT]) v = cs.collections[0].get_paths()[0].vertices xy = [] for vv in v: xy.append(vv[0]) cnt = np.array(xy) are

我需要计算一条等高线所限定的面积。我使用matplotlib获取轮廓线的顶点,但无法将它们转换为openCV中contourArea方法的有效输入:

Z = z_func(X, Y, Ql, k[i,j], B)
cs = plt.contour(X, Y, Z,[IncT])
v = cs.collections[0].get_paths()[0].vertices
xy = []
for vv in v:
    xy.append(vv[0])
cnt = np.array(xy)
area = cv2.contourArea(cnt)
我得到这个错误: ..\opencv-2.4.9.1\modules\imgproc\src\outlows.cpp:1904:错误:-215 contour.checkVector2>=0&&contour.depth==cv32f | | contour.depth==CV

:EOF当读取一行时


有人能帮我吗?提前感谢

最后,我没有使用cv2.1方法。仅获取顶点的Y分量,求其绝对值之和并乘以网格大小:

x = arange(-1.0,10.0,0.05)
y = arange(-1.0,1.0,0.05)

X,Y = meshgrid(x, y) # grid of point

cs = plt.contour(X, Y, Z,[IncT])
p = cs.collections[0].get_paths()[0]
v = p.vertices
y = v[:,1]
s[i,j]=sum(abs(y))*0.05