Identification Analysis and Reporting System on People with Covid-19 Diagnosis with Local Binary Patterns Histograms

Feature Extraction from Image using Local Binary Pattern and Local Derivative Pattern. A contribution to an Open Source Research Project based on building a Python library for feature extraction from images.

An academic project for the Digital Image Analysis course on age estimation from facial images using classical techniques—Local Binary Patterns (LBP) for texture analysis, Principal Component Analysis (PCA) for dimensionality reduction, and Support Vector Machines (SVM) for classification—without neural networks.

Diseño de experimentos para determinar el algoritmo más eficiente implementando LBP

This is a student attendance system, implemented with machine learning and face recognition using Local Binary Pattern Histogram-LBPH algorithm. It is implemented in Python using OpenCV.

Algorithms related to computer vision are implemented such as connectivity, interpolation, morphology, hough transform, PCA, face recognition with LBP.

This repository presents a comprehensive solution for classifying fluid flow images into two categories: Low-Speed and High-Speed. The project leverages advanced image processing techniques and machine learning algorithms to achieve accurate classification.

Face Recognition with Local Binary Patterns (LBPs) and OpenCV 💙