White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

:art: Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Python Image Search Engine with OpenCV

Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)

Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.

Repository containing all the codes created for the lab sessions of CSE3018 Content Based Image and Video Retrieval at VIT University Chennai Campus

Image Search Engine

Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai

CRISP is a Fast Image Search application that retrieves similar images from a database based on the query image by using Parallel computing paradigm.

Multiple Moving objects in a surveillance video were detected and tracked using ML models such as AdaBoosting. The obtained results were compared with the results from Kalman Filter.

Tool for analyzing the color histogram of a corpus of images

No description provided.

Code to perform Image Colour HIstogram Matching between two Images

This repository contains a project for fruit recognition using the Fruits-360 dataset. The project leverages computer vision techniques, image segmentation, color histogram extraction, and machine learning classifiers to classify fruits into different categories.

Adaptive color-based particle filtering for object tracking in video sequences.

A library to convert RGBA colors to HSV and create approximate color histograms, written in Go.

The project was run in ROS and RViz simulation to practice 3D image segmentation and train a robot with SVM algorithm.

Some tasks of computer vision using open-cv

Pembuatan Aplikasi Desktop Pengenalan Jenis Masker dengan Metode Color Histogram dan Euclidean Distance

Create a moving object detection and tracking program using MATLAB & Python.

No description provided.

This is a computer vision project using python3 and conventional computer vision techniques to determine a relative distance between two points in a given scene.

A Python project that estimates the calorie content of food from images. It enhances images using CLAHE, extracts color and texture features, and classifies food using machine learning models such as SVM and Random Forest. The predicted food class is then mapped to a reference calorie dataset to provide estimated calories for a given portion.

Supervised Classification using Python, SVM, HOG, Jupyter, Anaconda, AWS, Ubuntu

Welcome to the CIFAR-10 SVM Classifier repository. This project demonstrates the implementation of a Support Vector Machine (SVM) model to classify images from the CIFAR-10 dataset. The repository is designed to provide insights into machine learning workflows and best practices, catering to both research and production-ready implementations.

A university project on image quantization algorithms and the use of these algorithms in searches for similar images

Detect and track vehicles using computer vision and classification techniques

Performs histogram equalization on each color channel of an image.

Color/Texture based Image Retrieval