我是图像处理的初学者。我在许多色彩空间中显示图像,下面的代码显示3个通道中的图像R G B但是图像以灰色布局显示。我需要显示三个图像,一个用红色通道作为红色图像,另一个用作蓝色,最后一个用作绿色。提前谢谢。
# cspace.py
import cv2
import numpy as np
image = cv2.imread('download.jpg')
# Convert BGR to HSV
hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
hsl = cv2.cvtColor(image, cv2.COLOR_BGR2HLS) # equal to HSL
luv = cv2.cvtColor(image, cv2.COLOR_BGR2LUV)
#RGB - Blue
cv2.imshow('B-RGB.jpg',image[:, :, 0])
cv2.imwrite('B-RGB.jpg',image[:, :, 0])
# RGB - Green
cv2.imshow('G-RGB',image[:, :, 1])
cv2.imwrite('G-RGB.jpg',image[:, :, 1])
# RGB Red
cv2.imshow('R-RGB',image[:, :, 2])
cv2.imwrite('R-RGB.jpg',image[:, :, 2])
cv2.waitKey(0)
答案 0 :(得分:12)
您只需复制原始图像并将某些通道设置为0。
import cv2
image = cv2.imread('download.jpg')
b = image.copy()
# set green and red channels to 0
b[:, :, 1] = 0
b[:, :, 2] = 0
g = image.copy()
# set blue and red channels to 0
g[:, :, 0] = 0
g[:, :, 2] = 0
r = image.copy()
# set blue and green channels to 0
r[:, :, 0] = 0
r[:, :, 1] = 0
# RGB - Blue
cv2.imshow('B-RGB', b)
# RGB - Green
cv2.imshow('G-RGB', g)
# RGB - Red
cv2.imshow('R-RGB', r)
cv2.waitKey(0)
答案 1 :(得分:1)
import cv2
import numpy as np
channel_initials = list('BGR')
image = cv2.imread('download.jpg')
for channel_index in range(3):
channel = np.zeros(shape=image.shape, dtype=np.uint8)
channel[:,:,channel_index] = image[:,:,channel_index]
cv2.imshow(f'{channel_initials[channel_index]}-RGB', channel)
cv2.waitKey(0)