You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
Algorithms related to computer vision are implemented such as connectivity, interpolation, morphology, hough transform, PCA, face recognition with 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.
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.