Image Processing Basics

This lecture covers the basics of image processing, focusing on writing a program to process images. The instructor explains how to handle input parameters, read and process image files, and detect specific features like colored balls. The lecture also includes discussions on error handling, optimizing image processing algorithms, and testing for different scenarios. The instructor emphasizes the importance of correctly managing memory, handling pixel data, and ensuring code portability across different platforms. Students are guided through practical examples and encouraged to test their code thoroughly to avoid errors. The lecture concludes with tips on optimizing image processing algorithms for efficiency and addressing common pitfalls in image processing applications.