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Katedra Informatyki i Automatyki
Akademia Techniczno-Humanistyczna
w Bielsku-Białej
Tel.: +48 33 8279-264
Mikołaj Karpiński
Krzysztof Augustynek
Bohdan Borowik
Paweł Fałat
Joanna Gancarczyk
Tomasz Gancarczyk
Kazimierz Jagieła
Krzysztof Kajstura
Aleksandra Kłos-Witkowska
Roman Kochan
Oleksandr Korchenko
Mirosław Kordos
Marcin Kubica
Vasyl Martsenyuk
Renata Machlańska
Andrzej Masny
Jerzy Miś
Jadwiga Nikodem
Stanisław Rajba
Piotr Stachowicz
Rafał Szklarczyk
Kornel Warwas
Łukasz Więcław
Stanisław Zawiślak

dr Joanna Gancarczyk - Katedra Informatyki i Automatyki

dr Joanna Gancarczyk
Pokój służbowy: B326
Tel. praca: +48 33 8279390
E-mail: jgan@ath.bielsko.pl
Konsultacje
poniedziałek 11:15 - 12:45
Przedmioty prowadzone w języku polskim i angielskim:
Bazy danych (Databases)
Przetwarzanie obrazów (Image Processing)
Zainteresowania naukowe:
Przetwarzanie i analiza obrazu, zastosowanie przetwarzania i analizy obrazu w badaniach obiektów zabytkowych, inżynieria wiedzy

SPIS PUBLIKACJI: (https://scholar.google.pl/citations?user=4VOsJ44AAAAJ&hl=pl)
Deconstructing the VR-Data Transparency, Quantified Uncertainty and Reliability of 3D Models
Autorzy: Sorin Hermon, Joanna Nikodem, Cinzia Perlingieri
Data publikacji: 2006
Konferencja: VAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Strony: 123-129
Wydawca: The Eurographics Association
Opis: Abstract The paper discusses two key concepts required for the use of Virtual Reality and 3D modelling as a research tool for the humanities: data transparency-what is the type and nature of the archaeological/historical/ethnographical material on which the 3D model is based, and reliability-how the user can scientifically analyse the model. In this article, we will presenta solution to these issues based on concepts deriving from fuzzy logic and fuzzy sets.


Nieinwazyjne badania obiektów zabytkowych z wykorzystaniem fotografii w świetle widzialnym, fluorescencji UV i reflektografii IR
Autorzy: Joanna Gancarczyk, Tomasz Gancarczyk
Data publikacji: 2010
Czasopismo: Pomiary, Automatyka, Kontrola
Tom: 56
Strony: 268-271
Opis: Abstrakty PL Nieinwazyjne badania obiektów zabytkowych oparte na komputerowym przetwarzaniu i analizie obrazu zajmują coraz bardziej znaczącą pozycję pośród znanych do tej pory podobnych badań w innych dziedzinach, jak medycyna, analiza zdjęć satelitarnych, wojskowość czy kontrola jakości w przemyśle. Niniejsza praca przedstawia przegląd literatury dotyczącej poruszanego tematu a także opis badań własnych przeprowadzonych na udostępnionym obiekcie muzealnym.


Decision Tree Based Approach to Craquelure Identification in Old Paintings
Autorzy: Joanna Gancarczyk
Data publikacji: 2012
Czasopismo: Image Processing and Communications Challenges 4
Strony: 11-17
Wydawca: Springer Berlin Heidelberg
Opis:Summary In this paper an attempt has been made to develop a decision tree classification based algorithm for craquelure identification in old paintings. Craquelure can be an important element in judging authenticity, artist's workshop as well as for monitoring the environmental influence on the condition of the painting. Systematic observation of craquelure will help to build a better platform for conservators to identify cause of damage, thus a proper tool for precise detection of the pattern is needed.


Plateau Problem in the Watershed Transform
Autorzy: Joanna Nikodem
Data publikacji: 2009
Czasopismo: Computing and Informatics
Tom: 28
Wydanie: 2
Strony: 195–207
Opis:Abstract The watershed transform is one of best known and widely used methods for image segmentation in mathematical morphology. Since the definition, deriving from geology and nature observation is quite intuitive and straightforward to implement; many fast and powerful algorithms for watershed transform have already been presented. However, there still occur problems when one wishes to achieve a precise solution on blurred or noised image. The same range of problems is faced when a plateau occurs in the image.


Feature vector definition for a decision tree based craquelure identification in old paintings
Autorzy: Joanna Gancarczyk
Data publikacji: 2012/1/1
Książka: Computer Vision–ECCV 2012. Workshops and Demonstrations
Strony: 542-550
Wydawca: Springer Berlin Heidelberg
Opis:Abstract In the paper a new proposal of semi-automatic method of craquelure detection in old paintings is presented. It is well known, that craquelure pattern is a unique feature and its character gives a significant information about the overall condition of the work, progress and cause of its degradation and helps in dating as well as confirming the authentication of the work.


Data mining approach to Image feature extraction in old painting restoration
Autorzy: Joanna Gancarczyk, Joanna Sobczyk
Data publikacji: 2013/9/1
Czasopismo: Foundations of Computing and Decision Sciences
Tom: 38
Wydanie: 3
Strony: 159-174
Opis:Abstract In this paper a new approach to image segmentation was discussed. A model based on a data mining algorithm set on a pixel level of an image was introduced and implemented to solve the task of identification of craquelure and retouch traces in digital images of artworks. Both craquelure and retouch identification are important steps in art restoration process.


Data Mining Approach to Digital Image Processing in Old Painting Restoration
Autorzy: Joanna Gancarczyk
Data publikacji: 2013
Czasopismo: New Trends in Databases and Information Systems
Strony: 373-381
Wydawca: Springer Berlin Heidelberg
Opis:Abstract In this paper an attempt has been made to apply data mining techniques to the task of separation and categorization features in digital images of artworks. Both craquelure separation and retouching identification are important steps in art restoration process. Since the main goal is to enable recognition of character and cause of damage, as well as forecasting its further enlargement, a proper tool for precise detection of the pattern is needed.