最优拟合椭圆框

import cv2
import numpy as np
o=cv2.imread('C:/Users/xpp/Desktop/coins.png')#原始图像
gray=cv2.cvtColor(o,cv2.COLOR_BGR2GRAY)#将彩色图片转换为灰度图片
ret,binary=cv2.threshold(gray,127,255,cv2.THRESH_BINARY)#将灰度图片转换为二值图片
contours,hierarchy=cv2.findContours(binary,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)#计算图像轮廓
n=len(contours)
contoursImg=[]
for i in range(n):
    temp=np.zeros(o.shape,np.uint8)
    contoursImg.append(temp)
cv2.imshow("original",o)
ellipse=cv2.fitEllipse(contours[i])#计算最优拟合椭圆框
print("返回值ellipse:\n",ellipse)
cv2.ellipse(o,ellipse,(255,255,255),2)#绘制最优拟合椭圆框
cv2.imshow("result",o)
cv2.waitKey()
cv2.destroyAllWindows()