Understanding edge detection principles in binary images
Working with 2D array neighborhoods
Binary image processing fundamentals
Input validation for binary image data
Brief Problem Statement:
Create a function that counts the number of edge pixels in a binary image represented as a 2D list of integers (0s and 1s only). An edge pixel is defined as any pixel with value 1 that has at least one 0-valued pixel in its 8-connected neighborhood.
Example Implementation Available: Yes
Test Cases: Ready
Documentation: Will include detailed explanations and comments
I would like to contribute a new problem focused on basic computer vision concepts.
Problem Overview: Title: Edge Pixel Counter Difficulty: Easy Category: Computer Vision Concepts Covered: Edge detection, binary thresholding, neighborhood operations
Learning Objectives:
Brief Problem Statement: Create a function that counts the number of edge pixels in a binary image represented as a 2D list of integers (0s and 1s only). An edge pixel is defined as any pixel with value 1 that has at least one 0-valued pixel in its 8-connected neighborhood.
Example Implementation Available: Yes Test Cases: Ready Documentation: Will include detailed explanations and comments