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LoGo is a general-purpose interpreter written in GoLang for LOGO (programming language). Logo is widely known for its use of turtle graphics, in which commands for movement and drawing produced line or vector graphics, either on screen or with a small robot termed a turtle. It also has the ability to host a web interface for the user.
Code to accompany the paper: ”An Open-Source Computational Tool for Measuring Bacterial Biofilm Morphology and Growth Kinetics upon One-Sided Exposure to an Anti-Microbial Source”
The ultimate open-source, feature-rich image library geared with a rich set of image codecs, image extraction, and image manipulation utility functions.
Removal of random valued impulse noise using DTBDM algorithm - Identifies corrupted pixels in an image and corrects them based on neighboring values using non-linear filtering i.e., Modified decision based median filtering along with an impulse detector. • Displays edge preserving-enhancing abilities resulting in better contrast and color mappin…
An indexed color palette implementation in Go on top of a k-d tree for fast color lookups. Also rank a palette against an image to identify prominent colors.
Image to text can be integrated into a variety of applications and can convert images in popular formats such as JPEG, JPG, PNG, and GIF into editable text.
Convoluted Neural Network for classifying the FashionMNIST data set. Recognition of multiple clothing objects on the same picture with noise using the trained model and OpenCV.
This GitHub repository contains an example demonstrating the application of fundamental image processing filters (Mean, Median, Gaussian) using Python and OpenCV, along with the addition of Salt and Pepper Noise.