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Biocybernetics and Biomedical Engineering

Tytuł artykułu

Recognition of images of finger skin with application of histogram, image filtration and K-NN classifier

Autorzy Glowacz, A.  Glowacz, Z. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN In this paper, non-invasive method of recognition of finger skin was proposed. A plan of study of images of finger skin was proposed. Researches were carried out for three kinds of images: 60 h after injury, 160 h after injury, 450 h after injury. Proposed technique of recognition used methods of signal processing: extraction of magenta color, calculation of histogram, image filtration, calculation of perimeter, and K-NN classifier. A pattern creation process was conducted using 15 training images of finger skin. In the identification process 60 test images were used. The advantage of the presented method is analysis of the finger skin using a smartphone. The proposed approach will help to diagnose pathologies of human skin.
Słowa kluczowe
PL skóra palca   rozpoznawanie obrazu   klasyfikator K-NN   histogram   filtracja obrazu  
EN finger skin   image recognition   K-NN classifier   histogram   image filtration  
Wydawca Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Czasopismo Biocybernetics and Biomedical Engineering
Rocznik 2016
Tom Vol. 36, no. 1
Strony 95--101
Opis fizyczny Bibliogr. 29 poz., rys., tab., wykr.
autor Glowacz, A.
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering, Al. A. Mickiewicza 30, 30-059 Kraków, Poland,
autor Glowacz, Z.
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Power Electronics and Energy Control Systems, Kraków, Poland,
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PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-74762e24-b3e3-40bb-aab4-938058a2e31d
DOI 10.1016/j.bbe.2015.12.005