Amazing-Python-Scripts

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import cv2
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from tkinter.filedialog import *
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# we will find number of blobs with pixel value 255 in the following image
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# finding binary image
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print("\nImage should preferably be white (lighter) blobs on black (darker) background ")
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photo = askopenfilename()
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img = cv2.imread(photo, cv2.IMREAD_GRAYSCALE)
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img = cv2.resize(img, (300, 300))
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n, l = img.shape
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count = 0
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# blur the image
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ksize = (5, 5)  # kernel size
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img = cv2.blur(img, ksize)
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# thresholding the image
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for i in range(n):
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    for j in range(l):
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        if (img[i, j] <= 127):
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            img[i, j] = 0
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        else:
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            img[i, j] = 255
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def dfs(i, j):
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    img[i, j] = 127  # implying that we have visited this pixel for further reference
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    if (i-1 >= 0):
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        if (img[i-1, j] == 255):
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            dfs(i-1, j)
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    if (j-1 >= 0):
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        if (img[i, j-1] == 255):
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            dfs(i, j-1)
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    if (j+1 < l):
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        if (img[i, j+1] == 255):
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            dfs(i, j+1)
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    if (i+1 < n):
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        if (img[i+1, j] == 255):
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            dfs(i+1, j)
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    if ((i-1 >= 0) and (j-1 >= 0)):
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        if (img[i-1, j-1] == 255):
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            dfs(i-1, j-1)
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    if ((i-1 >= 0) and (j+1 < l)):
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        if (img[i-1, j+1] == 255):
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            dfs(i-1, j+1)
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    if ((i+1 < n) and (j-1 >= 0)):
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        if (img[i+1, j-1] == 255):
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            dfs(i+1, j-1)
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    if ((i+1 < n) and (j+1 < l)):
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        if (img[i+1, j+1] == 255):
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            dfs(i+1, j+1)
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cv2.namedWindow('image', cv2.WINDOW_NORMAL)
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cv2.imshow("image", img)
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cv2.waitKey(1000)
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for i in range(n):
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    for j in range(l):
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        if (img[i, j] == 255):
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            count += 1  # to count number of white blobs
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            dfs(i, j)
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print("count is", count)
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