70 lines
1.7 KiB
Python
70 lines
1.7 KiB
Python
from PIL import Image
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import numpy as np
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import matplotlib.pylab as plt
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im = Image.open("sample/IMG_8217.jpg")
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print(im)
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im2arr = np.array(im) # im2arr.shape: height x width x channel
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arr2im = Image.fromarray(im2arr)
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plt.imshow(im2arr)
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plt.show()
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print(np.min(im2arr[:,:,2]), np.max(im2arr[:,:,2]))
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# substract the minimal colour intensity from each pixel.
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# here, but not done yet
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x = 860
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y = 250
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plt.imshow(im2arr[y+50:y+250, x+50:x+250, :])
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plt.show()
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green_r = np.mean(im2arr[y+50:y+250, x+50:x+250, 0])
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green_g = np.mean(im2arr[y+50:y+250, x+50:x+250, 1])
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green_b = np.mean(im2arr[y+50:y+250, x+50:x+250, 2])
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print("green", green_r, green_g, green_b)
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x = 2070
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y = 250
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plt.imshow(im2arr[y+50:y+250, x+50:x+250, :])
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plt.show()
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blue_r = np.mean(im2arr[y+50:y+250, x+50:x+250, 0])
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blue_g = np.mean(im2arr[y+50:y+250, x+50:x+250, 1])
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blue_b = np.mean(im2arr[y+50:y+250, x+50:x+250, 2])
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print("blue", blue_r, blue_g, blue_b)
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x = 800
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y = 1020
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plt.imshow(im2arr[y+50:y+250, x+50:x+250, :])
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plt.show()
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brown_r = np.mean(im2arr[y+50:y+250, x+50:x+250, 0])
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brown_g = np.mean(im2arr[y+50:y+250, x+50:x+250, 1])
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brown_b = np.mean(im2arr[y+50:y+250, x+50:x+250, 2])
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print("brown", brown_r, brown_g, brown_b)
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plt.plot([brown_r, brown_g, brown_b])
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plt.plot([blue_r, blue_g, blue_b])
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plt.plot([green_r, green_g, green_b])
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plt.show()
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for i in range(len(im2arr)):
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for j in range(len(im2arr[i])):
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if im2arr[i][j][0] > brown_r - 30 and im2arr[i][j][0] < brown_r + 30 and im2arr[i][j][1] > brown_g - 30 and im2arr[i][j][1] < brown_g + 30 and im2arr[i][j][2] > brown_b - 30 and im2arr[i][j][2] < brown_b + 30:
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print(i,j, "brown")
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im2arr[i, j, 0] = 0
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im2arr[i, j, 1] = 0
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im2arr[i, j, 2] = 0
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plt.imshow(im2arr)
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plt.show() |