检测车道线——3.提取感兴趣区域内的颜色识别

时间:2022-02-06 15:17:04
 
 1  import matplotlib.pyplot as plt
2 import matplotlib.image as mpimg
3 import numpy as np
4
5 # Read in the image
6 image = mpimg.imread('E:/spyder/a/a/test.jpg')
7
8 # Grab the x and y sizes and make two copies of the image
9 # With one copy we'll extract only the pixels that meet our selection,
10 # then we'll paint those pixels red in the original image to see our selection
11 # overlaid on the original.
12 ysize = image.shape[0]
13 xsize = image.shape[1]
14 color_select= np.copy(image)
15 line_image = np.copy(image)
16
17 # Define our color criteria
18 red_threshold = 200
19 green_threshold = 200
20 blue_threshold = 200
21 rgb_threshold = [red_threshold, green_threshold, blue_threshold]
22
23 # Define a triangle region of interest (Note: if you run this code,
24 # Keep in mind the origin (x=0, y=0) is in the upper left in image processing
25 # you'll find these are not sensible values!!
26 # But you'll get a chance to play with them soon in a quiz ;)
27 left_bottom = [0, 539]
28 right_bottom = [900, 500]
29 apex = [400, 300]
30
31 fit_left = np.polyfit((left_bottom[0], apex[0]), (left_bottom[1], apex[1]), 1)
32 fit_right = np.polyfit((right_bottom[0], apex[0]), (right_bottom[1], apex[1]), 1)
33 fit_bottom = np.polyfit((left_bottom[0], right_bottom[0]), (left_bottom[1], right_bottom[1]), 1)
34
35 # Mask pixels below the threshold
36 color_thresholds = (image[:,:,0] < rgb_threshold[0]) | \
37 (image[:,:,1] < rgb_threshold[1]) | \
38 (image[:,:,2] < rgb_threshold[2])
39
40 # Find the region inside the lines
41 XX, YY = np.meshgrid(np.arange(0, xsize), np.arange(0, ysize))
42 region_thresholds = (YY > (XX*fit_left[0] + fit_left[1])) & \
43 (YY > (XX*fit_right[0] + fit_right[1])) & \
44 (YY < (XX*fit_bottom[0] + fit_bottom[1]))
45 # Mask color selection
46 color_select[color_thresholds] = [0,0,0]
47 # Find where image is both colored right and in the region
48 line_image[~color_thresholds & region_thresholds] = [255,0,0]
49
50 # Display our two output images
51 plt.imshow(line_image)

 

结果如下图所示

检测车道线——3.提取感兴趣区域内的颜色识别

 代码27~29改动为

27 left_bottom = [0, 539]
28 right_bottom = [900, 539]
29 apex = [475, 320]

结果如下图

检测车道线——3.提取感兴趣区域内的颜色识别

代码51改动为

51 x=[left_bottom[0],right_bottom[0],apex[0],left_bottom[0]]
52 y=[left_bottom[1],right_bottom[1],apex[1],left_bottom[1]]
53 plt.plot(x,y,'b--',lw=4)
54 plt.imshow(line_image)

结果如下图

 检测车道线——3.提取感兴趣区域内的颜色识别