Digital Image Processing — 20 Experiment Assignment Raj Aryan

Hello everyone. In this assignment, I will demonstrate twenty Digital Image Processing experiments using Python in Google Colab. The experiments are arranged in four units. First, I will explain how digital images are represented and transformed. Next, I will demonstrate contrast enhancement, smoothing, edge detection, noise removal, and image restoration. The third unit covers Fourier transforms and frequency-domain filters. Finally, I will explain thresholding, region splitting and merging, Hough line detection, watershed segmentation, and point, line, and edge masks. For every experiment, I will briefly state the aim, explain the important code, run it, and interpret the output. The notebooks use standard libraries such as NumPy, OpenCV, SciPy, Matplotlib, and scikit-image. The sample images are loaded from the libraries, so no external image upload is required for these demonstrations. I will focus on what the code does, which parameters control the result, and what limitations we should remember.