25 citations · 45 across the 14 of their papers we have counts for
3 papers · 1 filter
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios
Filip Pałka, Wojciech Książek, Paweł Pławiak +2
This study is focused on applying genetic algorithms (GA) to model and band selection in hyperspectral image classification. We use a forensic-inspired data set of seven hyperspect…
Comparison of surface thermal patterns of horses and donkeys in IRT images
Małgorzata Domino, Michał Romaszewski, Tomasz Jasiński +1
Infrared thermography (IRT) is a valuable diagnostic tool in equine veterinary medicine however, little is known about its application in donkeys. The aim was to find patterns in t…
A Dataset for Evaluating Blood Detection in Hyperspectral Images
Michał Romaszewski, Przemysław Głomb, Arkadiusz Sochan +1
The sensitivity of imaging spectroscopy to haemoglobin derivatives makes it a promising tool for detecting blood. However, due to complexity and high dimensionality of hyperspectra…