A Mobile Application that provides AI features such as Image Generation and Background Image Removal

This repo contains implementations of some of the classical computer vision algorithms/techniques for feature extraction, feature matching, image transformation, color image reconstruction, image denoising, image classification, and image segmentation.

Create a template and model for this program to be fully operational

🖼️ Image processing project with implementing different transforms using Matlab power.

Circular Hough transform is used for detecting circles in images. This is a basic implementation of CHT using Matlab

Simple samples to demonstrate 2D Thin Plate Spline Warping.

This repository contains five projects exploring fundamental concepts in image processing and computer vision. Each project focuses on a specific topic, with Jupyter Notebook files for code implementation and PDF reports summarizing the project goals, methods, and results.

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

it is our solutions to the satellite imagery labs taught in college 🛰🌍

One-class classification approach using error of image transformation into one image

Python function to convert RGB or grayscale image to Hilbert Space-Filling Curve

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

The Flutter App transforming Human's face into Chimpanzee-like face.

Python script that creates an image based on minecraft blocks.

Chitrakaar unlocks the potential of on-the-fly image enhancements at the edge.

Batch Image Transformations and Effects with Python PIL

Image Transformer to ASCII and PixelArt made by me using P5.js

Wordpress plugin serve images from mightyimage.io

Image Transformation using C++ and OOPS.

A novel local intensity order transformation for robust curvilinear object segmentation(TIP)