A university project on image quantization algorithms and the use of these algorithms in searches for similar images
-
Updated
Aug 30, 2023 - Java
A university project on image quantization algorithms and the use of these algorithms in searches for similar images
CRISP is a Fast Image Search application that retrieves similar images from a database based on the query image by using Parallel computing paradigm.
Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)
Some tasks of computer vision using open-cv
Tool for analyzing the color histogram of a corpus of images
Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]
Adaptive color-based particle filtering for object tracking in video sequences.
Create a moving object detection and tracking program using MATLAB & Python.
Pembuatan Aplikasi Desktop Pengenalan Jenis Masker dengan Metode Color Histogram dan Euclidean Distance
Code to perform Image Colour HIstogram Matching between two Images
A Java Desktop App to search similar images using colors histogram
Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai
🎨 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.
Working on Cifar-10 Dataset and Finding out its best SVM Model.
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.
Image Search Engine
Repository containing all the codes created for the lab sessions of CSE3018 Content Based Image and Video Retrieval at VIT University Chennai Campus
Add a description, image, and links to the color-histogram topic page so that developers can more easily learn about it.
To associate your repository with the color-histogram topic, visit your repo's landing page and select "manage topics."