问题描述
我正在尝试增加灰度图像的亮度。为此,我想创建一个样条曲线。但是当我尝试使用 scipy.interpolate.UnivariateSpline 时,它会引发错误。
追溯:
---------------------------------------------------------------------------
error Traceback (most recent call last)
<ipython-input-38-289216dd01e1> in <module>
8 x=[0,128,255]
9 y=[0,190,255]
---> 10 myLUT=spline_to_lookup_table(x,y)
<ipython-input-38-289216dd01e1> in spline_to_lookup_table(spline_breaks,break_values)
1 def spline_to_lookup_table(spline_breaks: list,break_values: list):
----> 2 spl = UnivariateSpline(spline_breaks,break_values)
4 return spl(range(256))
~/anaconda3/envs/computer-vision/lib/python3.8/site-packages/scipy/interpolate/fitpack2.py in __init__(self,x,y,w,bBox,k,s,ext,check_finite)
200
201 # _data == x,xb,xe,n,t,c,fp,fpint,nrdata,ier
--> 202 data = dfitpack.fpcurf0(x,w=w,xb=bBox[0],203 xe=bBox[1],s=s)
204 if data[-1] == 1:
error: (m>k) Failed for hidden m: fpcurf0:m=3
源代码:
def spline_to_lookup_table(spline_breaks: list,break_values: list):
spl = UnivariateSpline(spline_breaks,break_values)
return spl(range(256))
x=[0,255]
y=[0,255]
myLUT=spline_to_lookup_table(x,y)
img_curved=cv2.LUT(img_gray,myLUT).astype(np.uint8)
解决方法
事实上,你不能用三个点拟合三次样条:即使是单个三次抛物线也有四个参数。