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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
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
Explanation
As you can see, the small details are enhanced. TopHat transform is useful in obtaining the minor details from the input image.
Updated on: 17-Mar-2021
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