查找范围内的特定坐标像素，该范围内的像素强度也处于该范围内

这是使用Python / OpenCV / Numpy做到这一点的一种方法。

为该区域创建遮罩 从颜色创建蒙版 结合口罩 获取组合蒙版不是黑色的坐标

import cv2
import numpy as np

# load image
img = cv2.imread("monet2.jpg")

# create region mask
mask1 = np.zeros_like(img)[:,:,0]
mask1[0:0+75, 90:90+75] = 255

# create color mask
lower =(0,100,150) # lower bound for each channel
upper = (40,160,2100) # upper bound for each channel
mask2 = cv2.inRange(img, lower, upper)

# combine masks
mask3 = cv2.bitwise_and(mask1, mask2)

# get coordinates
coords = np.argwhere(mask3)
print(coords)

# apply mask to image (to see where data is obtained)
mask3 = cv2.merge([mask3,mask3,mask3])
img_masked = cv2.bitwise_and(img, mask3)


# display images
cv2.imshow("mask1", mask1)
cv2.imshow("mask2", mask2)
cv2.imshow("mask3", mask3)
cv2.imshow("img_masked", img_masked)
cv2.waitKey(0)

# write results to disk
cv2.imwrite("monet2_mask1.jpg", mask1)
cv2.imwrite("monet2_mask2.jpg", mask2)
cv2.imwrite("monet2_mask3.jpg", mask3)
cv2.imwrite("monet2_masked.jpg", img_masked)