3、OpenCV Python 色彩空间

 1 __author__ = "WSX"
 2 import cv2 as cv
 3 import numpy as np
 4 
 5 def color_space( img ):
 6     gray_img = cv.cvtColor(img , cv.COLOR_BGR2GRAY)  #色彩空间转换
 7     hsv_img = cv.cvtColor(img , cv.COLOR_BGR2HSV)
 8     hls_img = cv.cvtColor(img, cv.COLOR_BGR2HLS)
 9     ycrcb_img = cv.cvtColor(img, cv.COLOR_BGR2YCrCb)
10     return gray_img
11 
12 
13 def image_show():
14     img = cv.imread("1.JPG")
15     End_image = color_space( img )
16     cv.namedWindow("Show", cv.WINDOW_AUTOSIZE)
17     cv.imshow("Show" , End_image)
18     cv.waitKey(0)
19     cv.destroyAllWindows()
20 
21 def video_exe():  #过滤视频中的颜色
22     video = cv.VideoCapture("2.mp4")
23     ret , frame = video.read()
24     while True:
25         if ret == False:
26             break
27         hsv = cv.cvtColor(frame , cv.COLOR_BGR2HSV)
28         low = np.array([37 , 43 ,46])   #筛选HSV空间中的绿色
29         upper = np.array([77, 255, 255])
30         msk = cv.inRange(hsv , lowerb= low , upperb= upper)
31         #dst = cv.bitwise_and(frame,frame ,mask = msk)
32         cv.imshow("video" , frame)
33         cv.imshow("new_video" , msk)
34         #cv.imshow("dst_video", dst)
35         c = cv.waitKey(30)
36         if c == 27:
37             break
38 
39     cv.destroyAllWindows()
40 
41 #image_show()
42 video_exe()
43 
44 #opencv支持通道分离（b,g,r = cv.split）
45 #opencv支持通道合并（img = cv.merge（b,g,r））