I'm working on a firing simulator project. I'm using IP camera to capture a screen with the bullet holes. The problem I'm facing is getting only new bullet holes. I tried SSIM method to achieve that:
before = cv2.imread('before.png')
after = cv2.imread('after.png')
# Convert images to grayscale
before_gray = cv2.cvtColor(before, cv2.COLOR_BGR2GRAY)
after_gray = cv2.cvtColor(after, cv2.COLOR_BGR2GRAY)
# Compute SSIM between two images
(score, diff) = compare_ssim(before_gray, after_gray, full=True)
# The diff image contains the actual image differences between the two images
# and is represented as a floating point data type in the range [0,1]
# 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 of the two input images that differ
thresh = cv2.threshold(diff, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
contours = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]
contour_sizes = [(cv2.contourArea(contour), contour) for contour in contours]
# The largest contour should be the new detected difference
if len(contour_sizes) > 0:
largest_contour = max(contour_sizes, key=lambda x: x[0])[1]
x,y,w,h = cv2.boundingRect(largest_contour)
cv2.rectangle(before, (x, y), (x + w, y + h), (36,255,12), 2)
cv2.rectangle(after, (x, y), (x + w, y + h), (36,255,12), 2)
cv2.imshow('before', before)
cv2.imshow('after', after)
cv2.imshow('diff',diff)
cv2.waitKey(0)
And I get this result. My before and after images were same (with little motion because of air on screen) but SSIM method is always detecting change in same images.
And the result I got after processing is
Are there any other methods of getting new difference? I tried applying Canny method on image but it's not working as expected.