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.
Basic BMP image processing operations: flipping, rotating, cropping, extending, pasting, and applying filters.
Image processing implementations developed in practical DIP course classes.
Demonstration of the mini-lab component activities conducted for the course of Image Processing (19CCE447).
To associate your repository with the image-operations topic, visit your repo's landing page and select "manage topics."