I need to create some spots on an image. The spots are of irregular shape (mainly I was trying to add a big circle then trying to add smaller circles on the edges of the big circle so it gets an "irregular" circular shape). Here I just showed one circle in the example. As I have a directory full of images, the size, the location, and the number of the spots need to be varied for every image. What I tried is given here:

import glob
import cv2
import numpy as np
import random


count = 0
cv_img = []
for img in glob.glob('Lenna_(test_image).png'):
    n = cv2.imread(img)
    for i in range(random.randint(1, 5)):
        
        c1 = random.randrange(75,200,1)
        c2 = random.randrange(70,350,1)
        r1 = random.randint(8,18)
        
        n1_img = cv2.circle(n,(c1,c2),(r1),(255,255,255),-1, lineType = 4)
        
        
        cv_img.append(n1_img)
        cv2.imwrite('result.png',n1_img)
    count = count 1 

import cv2 as cv

image = cv.imread(r"img_path", cv.IMREAD_COLOR)
od = cv.imread(r"Mask image path", cv.IMREAD_GRAYSCALE)
mask = cv.bitwise_not(od)
res =  cv.bitwise_and(image, image, mask=mask)
cv.imshow("result", res)
cv.waitKey(0)

CodePudding user response：

Here is one way to generate random shapes in Python/OpenCV/Numpy/Skimage.

• Define a seed value for a random number generator (to change the pattern of shapes)
• Define the output width and height
• Create a random noise image
• Blur the noise image
• Stretch the blurred image to full dynamic range
• Threshold the stretched image
• Apply morphology to clean up the thresholded image
• Save the result

import cv2
import skimage.exposure
import numpy as np
from numpy.random import default_rng

# define random seed to change the pattern
seedval = 55
rng = default_rng(seed=seedval)

# define image size
width=500
height=500

# create random noise image
noise = rng.integers(0, 255, (height,width), np.uint8, True)

# blur the noise image to control the size
blur = cv2.GaussianBlur(noise, (0,0), sigmaX=15, sigmaY=15, borderType = cv2.BORDER_DEFAULT)

# stretch the blurred image to full dynamic range
stretch = skimage.exposure.rescale_intensity(blur, in_range='image', out_range=(0,255)).astype(np.uint8)

# threshold stretched image to control the size
thresh = cv2.threshold(stretch, 175, 255, cv2.THRESH_BINARY)[1]

# apply morphology open and close to smooth out shapes
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (9,9))
result = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)
result = cv2.morphologyEx(result, cv2.MORPH_CLOSE, kernel)

# save result
cv2.imwrite('random_blobs.png', result)

# show results
cv2.imshow('noise', noise)
cv2.imshow('blur', blur)
cv2.imshow('stretch', stretch)
cv2.imshow('thresh', thresh)
cv2.imshow('result', result)
cv2.waitKey(0)
cv2.destroyAllWindows()

Result:

You can now take this image and add it to your background image to insert the white blobs over the background.