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import cv2
import numpy as np
from matplotlib import pyplot as plt
path = 'C:\Users\Ashraf\Desktop\ground\'
def (image):
img = image
r, c, _ = img.shape
for i in range(r):
for j in range(c):
if img[i, j][2] > img[i, j][0] and img[i, j][2] > img[i, j][1]:
img[i, j][0] = 255
img[i,j][1] = 255
img[i,j][2] = 255
else:
img[i, j][0] = 0
img[i, j][1] = 0
img[i, j][2] = 0
img = img[:, :, 1]
_, bin = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
return bin
def green_bw2d(image):
img = image
r, c, _ = img.shape
for i in range(r):
for j in range(c):
if img[i, j][1] > img[i, j][0] and img[i, j][1] > img[i, j][2]:
img[i, j][0] = 255
img[i,j][1] = 255
img[i,j][2] = 255
else:
img[i, j][0] = 0
img[i, j][1] = 0
img[i, j][2] = 0
img = img[:, :, 1]
_, bin = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
return bin
def blue_bw2d(image):
img = image
r, c, _ = img.shape
for i in range(r):
for j in range(c):
if img[i, j][0] > img[i, j][1] and img[i, j][0] > img[i, j][2]:
img[i, j][0] = 255
img[i,j][1] = 255
img[i,j][2] = 255
else:
img[i, j][0] = 0
img[i, j][1] = 0
img[i, j][2] = 0
img = img[:, :, 1]
_, bin = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
return bin
def denoise(image):
img = image
img = cv2.medianBlur(img, 3)
return img
def fill(image, name):
point = (0,0)
src = image.copy()
src = np.invert(src)
connectivity = 4
flags = connectivity
flags |= cv2.FLOODFILL_FIXED_RANGE
cv2.floodFill(src, None, point, (0, 0, 0), (100,) * 3, (100,) * 3, flags)
cv2.imwrite(name, src)
def function(img, name):
img = denoise(img)
img = red_bw2d(img)
img = denoise(img)
fill(img, name)
img = cv2.imread('./3.png', cv2.IMREAD_COLOR)
name = './test.jpg'
function(img, name)
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