Digital Image Processing Experiments

Conducting digital image processing experiments using MATLAB is both fascinating and practical. I have developed and shared my experimental implementations that include edge detection algorithms (using operators like Sobel, Prewitt, or Canny), grayscale conversion techniques (RGB to grayscale transformation using weighted method or luminance preservation), and Fourier transform properties analysis (FFT implementation, frequency domain filtering). These experiments feature documented code with explanations of core MATLAB functions such as imread(), rgb2gray(), edge(), fft2(), and fftshift(). The implementations demonstrate practical applications of digital image processing concepts and can serve as valuable references for understanding fundamental principles and techniques. Researchers and students interested in these experiments can download the codebase for learning and research purposes, as it provides hands-on examples with algorithmic explanations and implementation insights.