1 import cv2
2
3 img = cv2.imread('l3.png')
4 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
5 hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
6
7
8 def mouse_click(event, x, y, flags, para):
9 if event == cv2.EVENT_LBUTTONDOWN: # 左边鼠标点击
10 print('PIX:', x, y)
11 print("BGR:", img[y, x])
12 print("GRAY:", gray[y, x])
13 print("HSV:", hsv[y, x])
14
15
16 if __name__ == '__main__':
17 cv2.namedWindow("img")
18 cv2.setMouseCallback("img", mouse_click)
19 while True:
20 cv2.imshow('img', img)
21 if cv2.waitKey() == ord('q'):
22 break
23 cv2.destroyAllWindows()
1 import numpy as np
2 import cv2
3
4 font = cv2.FONT_HERSHEY_SIMPLEX
5 lower_red = np.array([0, 127, 128]) # 红色阈值下界
6 higher_red = np.array([10, 255, 255]) # 红色阈值上界
7 lower_yellow = np.array([15, 230, 230]) # 黄色阈值下界
8 higher_yellow = np.array([35, 255, 255]) # 黄色阈值上界
9 lower_blue = np.array([85,240,140])
10 higher_blue = np.array([100,255,165])
11 frame=cv2.imread("l3.png")
12 img_hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
13 mask_red = cv2.inRange(img_hsv, lower_red, higher_red) # 可以认为是过滤出红色部分，获得红色的掩膜
14 mask_yellow = cv2.inRange(img_hsv, lower_yellow, higher_yellow) # 获得绿色部分掩膜
15 mask_yellow = cv2.medianBlur(mask_yellow, 7) # 中值滤波
16 mask_red = cv2.medianBlur(mask_red, 7) # 中值滤波
17 mask_blue = cv2.inRange(img_hsv, lower_blue, higher_blue) # 获得绿色部分掩膜
18 mask_blue = cv2.medianBlur(mask_blue, 7) # 中值滤波
19 #mask = cv2.bitwise_or(mask_green, mask_red) # 三部分掩膜进行按位或运算
20 print(mask_red)
21 cnts1, hierarchy1 = cv2.findContours(mask_red, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) # 轮廓检测 #红色
22 cnts2, hierarchy2 = cv2.findContours(mask_blue, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) # 轮廓检测 #红色
23 cnts3, hierarchy3 = cv2.findContours(mask_yellow, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
24
25 for cnt in cnts1:
26 (x, y, w, h) = cv2.boundingRect(cnt) # 该函数返回矩阵四个点
27 cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2) # 将检测到的颜色框起来
28 cv2.putText(frame, 'red', (x, y - 5), font, 0.7, (0, 0, 255), 2)
29 for cnt in cnts2:
30 (x, y, w, h) = cv2.boundingRect(cnt) # 该函数返回矩阵四个点
31 cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2) # 将检测到的颜色框起来
32 cv2.putText(frame, 'blue', (x, y - 5), font, 0.7, (0, 0, 255), 2)
33
34 for cnt in cnts3:
35 (x, y, w, h) = cv2.boundingRect(cnt) # 该函数返回矩阵四个点
36 cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) # 将检测到的颜色框起来
37 cv2.putText(frame, 'green', (x, y - 5), font, 0.7, (0, 255, 0), 2)
38 cv2.imshow('frame', frame)
39
40 cv2.waitKey(0)
41 cv2.destroyAllWindows()
