Digital Image Processing Lab Manual and Reference Solutions

In the following content, I present the Digital Image Processing Lab Manual and Reference Solutions developed for Central South University, which has been thoroughly validated on MATLAB 6.5. The material covers critical techniques such as image transformation and frequency domain filtering (including FFT implementations and filter design), spatial domain image enhancement (histogram equalization, noise removal algorithms), and image edge detection (Sobel, Canny operators) accompanied by reference images for verification. Compared to online alternatives, this version provides superior documentation with step-by-step experimental procedures, complete MATLAB code examples with detailed comments, and comprehensive conceptual explanations. Each experiment is structured to ensure readers gain both theoretical understanding and practical implementation skills through hands-on coding exercises. Furthermore, I have included extensive sample codes demonstrating key MATLAB functions like imfilter(), fft2(), and edge(), along with practical image datasets for immediate application. Ultimately, this manual not only assists students in successfully completing lab assignments but also enhances their image processing capabilities, establishing a solid foundation for academic learning and future research endeavors.