M
Maciej Hrebień
Researcher at University of Zielona Góra
Publications - 13
Citations - 244
Maciej Hrebień is an academic researcher from University of Zielona Góra. The author has contributed to research in topics: Hough transform & Image segmentation. The author has an hindex of 4, co-authored 13 publications receiving 240 citations.
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Fault diagnosis and fault tolerant control
Andrzej Obuchowicz,Wieslaw Wajs,Andrzej Pieczyński,Józef Korbicz,Krzysztof Patan,Marek Kowal,Dariusz Ucinski,Jan Maciej Kościelny,Janusz Petrykowski,Andrzej Dyka,Roman Śmierzchalski,Henryk Welfe,Paweł Drzymała,Sławomir Wiak,Rainer Hampel,Frank Drager,Piotr Tatjewski,Maciej Ławryńczuk,Marcin Zych,Krzysztof Warnke,Paweł Raczyński,Józef Lubkiewicz,Dilek Dustegor,Mogens Blanke,Morten Laursen,Paweł Stoch,Krzysztof Rączka,Maciej Kusy,Maciej Hrebień,Rafal Jozefowicz,Didier Maquin,José Ragot,Elom Ayih Domlan,Henrik Niemann,Niels Kjolstad Poulsen,Marcin Witczak,Przemysław Prętki,Mariusz Domżalski,Zdzisław Kowalczuk,Jean-Marie Flaus,Stéphane Ploix,Dominique Sauter,Christophe Aubrun,Shanbin Li,Youmin Zhang,Ryszard Tadeusiewicz,Marek L. Ogiela,Czesław Cempel,Mariusz Patan,Abed Alrahim Yassine,Andrzej Janczak,Ewa Skubalska-Rafajłowicz,Krzysztof Ciupke,Grzegorz Urbanek,Didier Theilliol,Cédric Join,Krzysztof E. Oliński,Piotr M. Marusak,Krzysztof Mazur,Mieczysław Adam Brdyś,Tharrault. Yvon,Gilles Mourot,Gracjan Głowacki,Antoni Lizęga,Maciej Cholewa,M. Gibiec,Adam Pietrzyk,Marcin Andrzejewski,Piotr Przystałka,Łukasz Dziekan,Andrzej Marciniak +70 more
Journal ArticleDOI
Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images
TL;DR: Three cytological image segmentation methods are described that include the watershed algorithm, active contouring and a cellular automata GrowCut method for fine Needle Biopsy Cytological Images.
Book ChapterDOI
Computational Intelligence Techniques in Image Segmentation for Cytopathology
TL;DR: A variety of computational intelligence approaches to nuclei segmentation in the microscope images of fine needle biopsy material is presented, including modified versions of watershed algorithm, active contours, cellular automata, GrowCut technique, as well as new approaches like fuzzy sets of I and II type, and the sonar-like method.
Book ChapterDOI
Hough Transform, (1+1) Search Strategy and Watershed Algorithm in Segmentation of Cytological Images
TL;DR: An early stage of cytological image recognition is described and a proposition of a hybrid segmentation method is presented that includes the Hough transform in conjunction with the watershed algorithm.
Book ChapterDOI
Hough Transform in Music Tunes Recognition Systems
Maciej Hrebień,Józef Korbicz +1 more
TL;DR: This paper presents a method of music tunes recognition based on adopted Hough transform, and experimental results showing the effectiveness of the presented solution are shown.