如何使用opencv填充整个内部轮廓

import cv2
import numpy as np

image = cv2.imread('image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

ret, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY_INV)

contours, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

mask = np.zeros_like(image)

cv2.drawContours(mask, contours, -1, (255, 255, 255), thickness=cv2.FILLED)

result = cv2.bitwise_and(image, mask)

import cv2
import numpy as np

# 读取图像并转换为灰度图像
image = cv2.imread('image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# 对图像进行二值化处理
ret, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY_INV)

# 查找轮廓
contours, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

# 创建与原始图像相同大小的掩膜图像
mask = np.zeros_like(image)

# 填充轮廓内部
cv2.drawContours(mask, contours, -1, (255, 255, 255), thickness=cv2.FILLED)

# 将掩膜图像与原始图像进行按位与操作
result = cv2.bitwise_and(image, mask)

# 显示结果图像
cv2.imshow('Filled Contours', result)
cv2.waitKey(0)
cv2.destroyAllWindows()