Python OpenCV | cv2.erode() method Last Updated : 04 Jan, 2023 Comments Improve Suggest changes Like Article Like Report OpenCV-Python is a library of Python bindings designed to solve computer vision problems. cv2.erode() method is used to perform erosion on the image. The basic idea of erosion is just like soil erosion only, it erodes away the boundaries of foreground object (Always try to keep foreground in white). It is normally performed on binary images. It needs two inputs, one is our original image, second one is called structuring element or kernel which decides the nature of operation. A pixel in the original image (either 1 or 0) will be considered 1 only if all the pixels under the kernel is 1, otherwise it is eroded (made to zero). Syntax: cv2.erode(src, kernel[, dst[, anchor[, iterations[, borderType[, borderValue]]]]]) Parameters: src: It is the image which is to be eroded . kernel: A structuring element used for erosion. If element = Mat(), a 3 x 3 rectangular structuring element is used. Kernel can be created using getStructuringElement. dst: It is the output image of the same size and type as src. anchor: It is a variable of type integer representing anchor point and it's default value Point is (-1, -1) which means that the anchor is at the kernel center. borderType: It depicts what kind of border to be added. It is defined by flags like cv2.BORDER_CONSTANT, cv2.BORDER_REFLECT, etc. iterations: It is number of times erosion is applied. borderValue: It is border value in case of a constant border. Return Value: It returns an image. Image used for all the below examples: Example #1: Python3 1== # Python program to explain cv2.erode() method # importing cv2 import cv2 # importing numpy import numpy as np # path path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png' # Reading an image in default mode image = cv2.imread(path) # Window name in which image is displayed window_name = 'Image' # Creating kernel kernel = np.ones((5, 5), np.uint8) # Using cv2.erode() method image = cv2.erode(image, kernel) # Displaying the image cv2.imshow(window_name, image) Output: Example #2: Python3 1== # Python program to explain cv2.erode() method # importing cv2 import cv2 # importing numpy import numpy as np # path path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png' # Reading an image in default mode image = cv2.imread(path) # Window name in which image is displayed window_name = 'Image' # Creating kernel kernel = np.ones((6, 6), np.uint8) # Using cv2.erode() method image = cv2.erode(image, kernel, cv2.BORDER_REFLECT) # Displaying the image cv2.imshow(window_name, image) Output: Comment More infoAdvertise with us R Rajnis09 Follow Improve Article Tags : Python Image-Processing OpenCV Python-OpenCV Practice Tags : python Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 6 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 7 min read Python Functions 8 min read Recursion in Python 6 min read Python Lambda Functions 6 min read Python Data StructuresPython String 6 min read Python Lists 6 min read Python Tuples 6 min read Dictionaries in Python 7 min read Python Sets 10 min read Python Arrays 9 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 6 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 11 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 10 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like