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Image Processing & Communications

Tytuł artykułu

Analysis of cell structure in color histological image

Autorzy Nedzved, A.  Ablameyko, S.  Oczeretko, E.  Półjanowicz, W. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN One of the basic subjects of studying in histology is the cell structure. The image of a histological cell is characterized by a geometrical complexity and the certain hierarchy of cell structure. In this paper, algorithm for cell structure extraction is proposed. The algorithm consists of two branches. The first is intended for extraction of cells with an unpainted nucleus, another for the painted nucleus. According to cell hierarchical structure, binary images of cells, nucleus, nucleolus and inclusions are created. For computing of topological characteristics, cell is presented as hierarchy of binary images. The first level contains a binary image of cell, the second level contains an image of a nucleus, the third level contains nucleolus and various cellular inclusions.
Słowa kluczowe
PL przetwarzanie obrazów   segmentacja   obraz histologiczny  
EN image processing   segmentation   histological images  
Wydawca Instytut Telekomunikacji Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
Czasopismo Image Processing & Communications
Rocznik 2005
Tom Vol. 10, no 1
Strony 43--51
Opis fizyczny Bibliogr. 11 poz., rys., wykr.
autor Nedzved, A.
  • Minsk State Medical University, Leningradskaya Str. 6; 220050 Mins, Belarus
autor Ablameyko, S.
  • The United Instituteof Informatics Problems, National Academy of Sciences of Belarus, Surganova Str. 6; 220012 Minsk, Belarus
autor Oczeretko, E.
  • Institute of Informatics, Bialystok University, PL-15-887 Bialystok, Sosnowa Str. 64, Poland
autor Półjanowicz, W.
  • Institute of Informatics, Bialystok University, PL-15-887 Bialystok, Sosnowa Str. 64, Poland
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