Perform geometric transformations, arithmetic operations, and image cropping using NumPy and OpenCV functions.
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Updated
Jun 22, 2022 - Jupyter Notebook
Perform geometric transformations, arithmetic operations, and image cropping using NumPy and OpenCV functions.
Discover how to use Matplotlib to create visualizations using the built-in plots that are provided by the library. Customize your visualizations and write mathematical expressions using TeX.
Is a minimal, device‑aware image ops library built on top of OpenCV and NumPy.
A comprehensive REST API developed as part of the University of Michigan's web development curriculum. This Node.js-based backend provides robust endpoints for user management and image operations, ensuring secure authentication, efficient error handling, and seamless integration for web applications.
Image processing implementations developed in practical DIP course classes.
Basic BMP image processing operations: flipping, rotating, cropping, extending, pasting, and applying filters.
Demonstration of the mini-lab component activities conducted for the course of Image Processing (19CCE447).
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