如何用opencv+Python提取图片中阴影部分轮廓并计算面积

如下图，我本来想用cv.threshold来计算，给深色部分涂上别的颜色，但是这个简单划分的效果不好。

https://blog.csdn.net/liming89/article/details/122394876?spm=1005.2026.3001.5635&utm_medium=distribute.pc_relevant_ask_down.none-task-blog-2~default~OPENSEARCH~Rate-10.pc_feed_download_top3ask&depth_1-utm_source=distribute.pc_relevant_ask_down.none-task-blog-2~default~OPENSEARCH~Rate-10.pc_feed_download_top3ask

import cv2

img_path = "xxxx.jpg"
#读取文件
mat_img = cv2.imread(img_path)
mat_img2 = cv2.imread(img_path,cv2.CV_8UC1)

#自适应分割
dst = cv2.adaptiveThreshold(mat_img2,210,cv2.BORDER_REPLICATE,cv2.THRESH_BINARY_INV,3,10)
#提取轮廓
img,contours,heridency = cv2.findContours(dst,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
#标记轮廓
cv2.drawContours(mat_img,contours,-1,(255,0,255),3)

#计算轮廓面积
area = 0
for i in contours:
    area += cv2.contourArea(i)
print(area)

#图像show
cv2.imshow("window1",mat_img)
cv2.waitKey(0)

题主，这个有实例，你可以直接用https://blog.csdn.net/qq_41427568/article/details/100897746

傅里叶变换区分一下深色和浅色部分