import cv2 import numpy as np
# Apply a Gaussian blur blurred = cv2.GaussianBlur(gray, (5, 5), 0)
Contributions are welcome! If you find any errors or have suggestions, please submit a pull request.
Digital image processing is a crucial field in computer science and engineering that deals with the processing and analysis of digital images. It has numerous applications in various industries, including healthcare, security, entertainment, and more. The 4th edition of Digital Image Processing provides a thorough introduction to the concepts and techniques of digital image processing, covering topics such as image formation, image processing, and image analysis.
Please replace username and repository with your actual GitHub username and repository name.
import cv2 import numpy as np
# Apply a Gaussian blur blurred = cv2.GaussianBlur(gray, (5, 5), 0)
Contributions are welcome! If you find any errors or have suggestions, please submit a pull request.
Digital image processing is a crucial field in computer science and engineering that deals with the processing and analysis of digital images. It has numerous applications in various industries, including healthcare, security, entertainment, and more. The 4th edition of Digital Image Processing provides a thorough introduction to the concepts and techniques of digital image processing, covering topics such as image formation, image processing, and image analysis.
Please replace username and repository with your actual GitHub username and repository name.