即使存在不同深浅的蓝色，我如何将水的蓝色转换为另一种颜色？

Question

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如何将图像中水的蓝色转换为白色，特别是当存在不同的蓝色阴影时。然后分离任何其他颜色并赋予它例如黑色。例如，海洋中的这种污染，您希望检测受污染的区域，并为其提供与水明显区分的颜色：

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Answer 1

import cv2
import numpy as np
from matplotlib import pyplot as plt
BLUE = [255,0,0]
img1 = cv2.imread('11.jpg')
replicate = cv2.copyMakeBorder(img1,10,10,10,10,cv2.BORDER_REPLICATE)     
reflect = cv2.copyMakeBorder(img1,10,10,10,10,cv2.BORDER_REFLECT)
reflect101 = cv2.copyMakeBorder(img1,10,10,10,10,cv2.BORDER_REFLECT_101)
wrap = cv2.copyMakeBorder(img1,10,10,10,10,cv2.BORDER_WRAP)
constant= 
cv2.copyMakeBorder(img1,10,10,10,10,cv2.BORDER_CONSTANT,value=BLUE)
plt.subplot(231),plt.imshow(img1,'gray'),plt.title('ORIGINAL')
plt.subplot(232),plt.imshow(replicate,'gray'),plt.title('REPLICATE')
plt.subplot(233),plt.imshow(reflect,'gray'),plt.title('REFLECT')
plt.subplot(234),plt.imshow(reflect101,'gray'),plt.title('REFLECT_101')
plt.subplot(235),plt.imshow(wrap,'gray'),plt.title('WRAP')
plt.subplot(236),plt.imshow(constant,'gray'),plt.title('CONSTANT')
plt.show()
cv2.waitKey()
cv2.destroyAllWindows()

Answer 2

import cv2
import numpy as np

from PIL import Image

import colorsys

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg

def rgb2gray(rgb):
return np.dot(rgb[...,:3], [0.299, 0.587, 0.114])

img = mpimg.imread('0.jpg')     
gray = rgb2gray(img)    
plt.imshow(gray, cmap = plt.get_cmap('gray'))
plt.show()

cv2.waitKey()
cv2.destroyAllWindows()