Basic Image Processing Operations in MATLAB with Source Code

This article provides comprehensive information on fundamental image processing operations, including MATLAB source code for various classical algorithms and complete implementation processes. These essential operations form the core of image processing, while MATLAB serves as a powerful tool for handling image data. The provided code demonstrates key implementation approaches through functions like edge() for edge detection, imgaussfilt() for Gaussian smoothing, and imerode()/imdilate() for morphological operations. Through these examples, you'll gain understanding of foundational image processing concepts and master commonly used algorithms including edge detection techniques, smoothing filters, and morphological operations. Additionally, we include sample images to better illustrate the practical applications of these algorithms, showcasing how parameters like sigma values in Gaussian filters affect smoothing intensity. We hope this material enhances your understanding and mastery of basic image processing operations through hands-on code implementation.