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Performing white TopHat operation on images using OpenCV


In this program, we will perform the TopHat operation on images. TopHat operation is a morphological operation that is used to extract small elements and details from given images. TopHat is used to enhance bright objects in a dark background. We will use the morphologyEx(image, cv2.MORPH_TOPHAT, kernel) function

Original Image

Performing white TopHat operation on images using OpenCV

Algorithm

Step 1: Import cv2.
Step 2: Read the image.
Step 3: Define the kernel size.
Step 4: Pass the image and kernel to the cv2.morphologyex() function.
Step 5: Display the output.

Example Code

import cv2

image = cv2.imread('tophat.jpg')
filter_size = (5,5)
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, filter_size)
image = cv2.morphologyEx(image, cv2.MORPH_TOPHAT, kernel)
cv2.imshow('TopHat', image)

Output

Performing white TopHat operation on images using OpenCV

Explanation

As you can see, the small details are enhanced. TopHat transform is useful in obtaining the minor details from the input image.