Find similarities between two images with Opencv and Python

Raber Mislim answered on May 30, 2022 Popularity 1/10 Helpfulness 1/10

answer Find similarities between two images with Opencv and Python

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Find similarities between two images with Opencv and Python

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from skimage.metrics import structural_similarity
import cv2
import numpy as np

first = cv2.imread('clownfish_1.jpeg')
second = cv2.imread('clownfish_2.jpeg')

# Convert images to grayscale
first_gray = cv2.cvtColor(first, cv2.COLOR_BGR2GRAY)
second_gray = cv2.cvtColor(second, cv2.COLOR_BGR2GRAY)

# Compute SSIM between two images
score, diff = structural_similarity(first_gray, second_gray, full=True)
print("Similarity Score: {:.3f}%".format(score * 100))

# The diff image contains the actual image differences between the two images
# and is represented as a floating point data type so we must convert the array 
# to 8-bit unsigned integers in the range [0,255] before we can use it with OpenCV
diff = (diff * 255).astype("uint8")

# Threshold the difference image, followed by finding contours to
# obtain the regions that differ between the two images
thresh = cv2.threshold(diff, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
contours = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]

# Highlight differences
mask = np.zeros(first.shape, dtype='uint8')
filled = second.copy()

for c in contours:
    area = cv2.contourArea(c)
    if area > 100:
        x,y,w,h = cv2.boundingRect(c)
        cv2.rectangle(first, (x, y), (x + w, y + h), (36,255,12), 2)
        cv2.rectangle(second, (x, y), (x + w, y + h), (36,255,12), 2)
        cv2.drawContours(mask, [c], 0, (0,255,0), -1)
        cv2.drawContours(filled, [c], 0, (0,255,0), -1)

cv2.imshow('first', first)
cv2.imshow('second', second)
cv2.imshow('diff', diff)
cv2.imshow('mask', mask)
cv2.imshow('filled', filled)
cv2.waitKey()

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Source: stackoverflow.com

Tags: between find opencv python

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Contributed on Feb 09 2025

Raber Mislim

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compute difference between two images python opencv

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import cv2

# load images
image1 = cv2.imread("leftImage.jpg")
image2 = cv2.imread("rightImage.jpg")

# compute difference
difference = cv2.subtract(image1, image2)

# color the mask red
Conv_hsv_Gray = cv2.cvtColor(difference, cv2.COLOR_BGR2GRAY)
ret, mask = cv2.threshold(Conv_hsv_Gray, 0, 255,cv2.THRESH_BINARY_INV |cv2.THRESH_OTSU)
difference[mask != 255] = [0, 0, 255]

# add the red mask to the images to make the differences obvious
image1[mask != 255] = [0, 0, 255]
image2[mask != 255] = [0, 0, 255]

# store images
cv2.imwrite('diffOverImage1.png', image1)
cv2.imwrite('diffOverImage2.png', image1)
cv2.imwrite('diff.png', difference)

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Source: stackoverflow.com

Tags: opencv difference between python o

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Contributed on May 30 2022

Merwanski

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how to install pgadmin in linux ubunto

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curl -fsS https://www.pgadmin.org/static/packages_pgadmin_org.pub | sudo gpg --dearmor -o /usr/share/keyrings/packages-pgadmin-org.gpg

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Contributed on Feb 06 2025

Ahtisham ulhaq

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Find similarities between two images with Opencv and Python

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Find similarities between two images with Opencv and Python

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