Joanna Nikodem

Joanna Nikodem
University of Bielsko-Biala · Department of Computer Science and Automatics

PhD

About

20
Publications
3,703
Reads
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49
Citations
Citations since 2017
7 Research Items
21 Citations
2017201820192020202120222023012345
2017201820192020202120222023012345
2017201820192020202120222023012345
2017201820192020202120222023012345
Additional affiliations
March 2015 - present
University of Bielsko-Biala
Position
  • Adiunkt
March 2015 - present
University of Bielsko-Biala
Position
  • Adiunkt
Description
  • Databases I Databases II Image Processing Image Processing and Analysis Discrete Mathematics Concrete Mathematics
March 2006 - December 2006
PIN, University of Florence
Position
  • Fellow Researcher
Description
  • An early stage researcher contract in the framework of the European Project EPOCH (Excellence in Processing Open Cultural Heritage) www.epoch-net.org
Education
January 2010 - November 2013
October 1998 - July 2003
University of Silesia in Katowice
Field of study
  • Mathematics

Publications

Publications (20)
Conference Paper
Full-text available
In this paper, we move for a while away from the very technical issues of shape descriptors definition and verification and we focus on the question how visualisation of the computed data affects the final result of a visual query. We are replacing a traditional, linear presentation of n most similar outputs to a set of graph-like and scatterplot b...
Article
Full-text available
The interface presented combines query-by-sketch and query-by-image modes of interaction. It is designed to harmonise extraction of several basic shape descriptors with 2d haptic pointing.
Article
Full-text available
Should any museum or scientifi c library consider itself as an information technology laboratory? This article explores the lives of several pioneering museum and library projects focused on digital image retrieval techniques (CBIR). The research aims to contribute critical evaluation of museum and information technology domain relations in the fi...
Article
Full-text available
The study explores integration of the tech-provided CBIR solutions with the everyday cultural practice. The research focus on the end-user experience. It has been designed in order to discover categories and relationships that constitute the social evaluation of the visual search. The observation was limited to the small group of digital natives a...
Article
In the following paper we present tagging of visual forms as a strategy which relates to the solutions developed by the creators of the Standard MPEG-7 and which can have significant importance for the integration of visual searching into the contemporary systems of communication. The proposition is based on the observation of contemporary cultural...
Article
Full-text available
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 restorati...
Thesis
Full-text available
W przedstawianej rozprawie zbadano możliwości komputerowego przetwarzania i analizy obrazu, ze szczególnym uwzględnieniem metod identyfikacji uszkodzeń warstwy malarskiej. Jako główny wynik przedstawiono nie publikowaną dotąd metodę segmentacji siatki spękań z zastosowaniem techniki eksploracji danych na poziomie pikseli obrazu. The thesis int...
Conference Paper
Full-text available
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 authe...
Article
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 craquelur...
Article
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...
Article
Full-text available
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 oc...
Conference Paper
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 arti...

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Projects

Projects (4)
Project
Define a method to quantify uncertainty and reliability of 3D models.
Project
Theoretical foundations of the watershed transform
Project
Define a set of algorithms based on data mining techniques for automatic or semi-automatic craquelure identification in old paintings.