Analysis of cell structure in color histological image

• Autorzy: Nedzved A. , Ablameyko S. , Oczeretko E. , Półjanowicz W.
• Języki publikacji: EN

Abstrakty

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

EN

image processing; segmentation; histological images

PL

przetwarzanie obrazów; segmentacja; obraz histologiczny

• Wydawca: Instytut Telekomunikacji i Informatyki 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.

Twórcy

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

Bibliografia

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