Classification of CIFAR-10 images with a convolutional net.
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Updated
Jan 23, 2018 - Jupyter Notebook
Classification of CIFAR-10 images with a convolutional net.
Sample project showing how to integrate the Docutain Document Scanner SDK into a Xamarin.Forms application.
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.
Web Application to detect tampering on Pan Cards
Collection of small scale backend projects
Digital Image Processing Course Project (EE3035)
It is a Java based GUI desktop application which “detects the objects in a binary image using the concept of Neighborhood and connectivity”. More specifically it implements the concept of "M-Connectivity" of Digital Image Processing.
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”
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.
An efficient Rust implementation of the Statistical Regione Merging Image Segmentation Algorithm
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.
A sudoku solver web application based on image processing techniques.
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.
A quantum algorithm for image downsampling and compression.
Computes the two-dimensional discrete cosine transform (DCT2D) of an image an its inverse, taking the image to the frequency domain.
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…
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