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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-BAT5-0006-0068

Czasopismo

Image Processing & Communications

Tytuł artykułu

Analysis of cell structure in color histological image

Autorzy Nedzved, A.  Ablameyko, S.  Oczeretko, E.  Półjanowicz, W. 
Treść / Zawartość http://content.sciendo.com/view/journals/ipc/ipc-overview.xml
Warianty tytułu
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
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.
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
[1] Leung, C.C., Chan, F.H.Y., Lam, K.Y., Kwok, P.C.K., Chen, W.F., Thyroid Cancer Cells Boundary Location by a Fuzzy Edge Detection Method, Proc. of Int, Conf. on Pattern Recognition, 2000, Vol. IV, pp.360-363.
[2] R.F.Walker, P.Jackway, B.Lovell, I.D.Longstaff. Classification of cervical cell nuclei using morphological segmentation and textural feature extraction. Proc. Second Australian and New Zealand Conference on Intelligent information systems, Brisbane, 1994, pp183-189
[3] Jianfeng Lu, Shijin Li, Jingyu Yang and Leijian Liu, "Lung cancer cell recognition based on multiple color spaces," Proceeding of SPIE, vol. 3522, pp.378-386, 1998.
[4] L.Vazquez, G.Sapiro, G.Randall, Segmenting neurons in electronic microscopy via geometric tracing, Proc. of International Conference on Image Processing, 1998, Vol.3, pp.814-818.
[5] CIRES: Product information. Electronic, 1994.
[6] Garrido, A., Perez de la Blanca, N., Applying deformable templates for cell image segmentation, Pattern Recognition, vol.33, no.5, 2000, pp.821-832.
[7] Kurugollu, F., Sankur, B., Color cell image segmentation using pyramidal constraint satisfaction neural network, Proceedings of IAPR Workshop on Machine Vision Applications, 1998, pp.85-88
[8] A.Nedzved, S.Ablameyko, I.Pitas, Morphology segmentation of histology cell images, Proc. of Intern. Conference on Pattern Recognition, Barcelona, 2000, Vol.1, pp.500-503
[9] Bengtsson, E., Computerized Cell Image Analysis: Past, Present, and Future, Lecture Notes in Computer Science, Springer-Verlag, Vol. 2749, 2003, pp.395 - 407
[10] M.W.Vannier, J.W.Haller, Biomedical image segmentation, Proc. of International Conference on Image Processing, 1998, Vol.2, pp.20-24.
[11] S. Ablameyko, A. Nedzved, D. Lagunovsky, O. Patsko and V. Kirillov, "Cell Segmentation: Review of Approaches," Proceeding of PRIP'2001 Conference, vol. 2, pp. 26-34, 2001.
Kolekcja BazTech
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