opencv(2)

import cv2

image = cv2.imread("D:/cv2/5.1.jpg")
cv2.imshow("5.1", image)  # 显示图5.1
# 将图5.1从BGR色彩空间转换到GRAY色彩空间
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow("GRAY", gray_image)  # 显示灰度图像
cv2.waitKey()
cv2.destroyAllWindows()

 HSV色彩空间

import cv2

image = cv2.imread("D:/5.1.jpg")
cv2.imshow("5.1", image) # 显示图5.1
# 将图5.1从BGR色彩空间转换到HSV色彩空间
hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
cv2.imshow("HSV", hsv_image) # 用HSV色彩空间显示的图像
cv2.waitKey()
cv2.destroyAllWindows()

import cv2

bgr_image = cv2.imread("D:/cv2/5.1.jpg")
cv2.imshow("5.1", bgr_image) # 显示图5.1
b, g, r = cv2.split(bgr_image) # 拆分图5.1中的通道
cv2.imshow("B", b) # 显示图5.1中的B通道图像
cv2.imshow("G", g) # 显示图5.1中的G通道图像
cv2.imshow("R", r) # 显示图5.1中的R通道图像
cv2.waitKey()
cv2.destroyAllWindows()

import cv2

bgr_image = cv2.imread("D:/5.1.jpg")
cv2.imshow("5.1", bgr_image) # 显示图5.1
# 把图5.1从BGR色彩空间转换到HSV色彩空间
hsv_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2HSV)
h

import cv2

bgr_image = cv2.imread("D:/cv2/5.1.jpg")
b, g, r = cv2.split(bgr_image) # 拆分图5.1中的通道
bgr = cv2.merge([b, g, r]) # 按B→G→R的顺序合并通道
cv2.imshow("BGR", bgr)
cv2.waitKey()
cv2.destroyAllWindows()

import cv2
bgr_image = cv2.imread("D:/cv2/5.1.jpg")
# 把图5.1从BGR色彩空间转换到HSV色彩空间
hsv_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2HSV)
h, s, v = cv2.split(hsv_image) # 拆分HSV图像中的通道
hsv = cv2.merge([h, s, v]) # 合并拆分后的通道图像
# 合并通道后的图像从HSV色彩空间转换到BGR色彩空间
bgr = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
cv2.imshow("BGR", bgr) # 显示BGR图像
cv2.waitKey()
cv2.destroyAllWindows()

import cv2

bgr_image = cv2.imread("D:/cv2/5.1.jpg")
cv2.imshow("5.1", bgr_image)
# 把图5.1从BGR色彩空间转换到HSV色彩空间
hsv_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2HSV)
h, s, v = cv2.split(hsv_image) # 拆分HSV图像中的通道
h[:, :] = 180 # 将H通道的值调整为180
hsv = cv2.merge([h, s, v]) # 合并拆分后的通道图像
# 合并通道后的图像从HSV色彩空间转换到BGR色彩空间
new_Image = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
cv2.imshow("NEW",new_Image)
cv2.waitKey()
cv2.destroyAllWindows()

import cv2

bgr_image = cv2.imread("D:/cv2/5.1.jpg")
# 把图5.1从BGR色彩空间转换到BGRA色彩空间
bgra_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2BGRA)
cv2.imshow("BGRA", bgr_image) # 显示BGRA图像
b, g, r, a = cv2.split(bgra_image) # 拆分BGRA图像中的通道
a[:, :] = 172 # 将BGRA图像的透明度调整为172（半透明）
bgra_172 = cv2.merge([b, g, r, a]) # 合并拆分后并将透明度调整为172的通道图像
a[:, :] = 0 # 将BGRA图像的透明度调整为0（透明）
bgra_0 = cv2.merge([b, g, r, a]) # 合并拆分后并将透明度调整为0的通道图像
cv2.imshow("A = 172", bgra_172) # 显示透明度为172的BGRA图像
cv2.imshow("A = 0", bgra_0) # 显示透明度为0的BGRA图像
cv2.waitKey()
cv2.destroyAllWindows()