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Segmentation of color biomedical images

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The task of color cell image segmentation is considered. Overview of cell image segmentation algorithms is given. A new homogeneity and color characteristics histogram based algorithm of color cell image segmentation is proposed. It includes a modified edge detection algorithm based on Sobel operator and the procedure of RGB-HSV transformation that was applied to decrease number of operations and increase the segmentation quality.
Twórcy
autor
autor
  • Institute of Computer Science, Biaystok University PL-15-887 Biaystok, Sosnowa Str. 64, Poland
Bibliografia
  • [1] S.V. Ablamejko, D.M. Lagunovskij, Obrabotka izobraźenij: tehnologid, metody, primenenie, Minsk - Amalfea, 2000.
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  • [3] S. Ablameyko, A. Nedzved, D. Lagunovsky, O. Patsko, V. Kirillov, Cell Segmentation: Review of Approaches, Proc. of PRIP’2001 Conf., Vol.2, pp. 26-34, 2001.
  • [4] M. A. Taleb, V.V. Starovojtov, Algoritm segmentacii cvetnyh izobraźenij sredstvami klasternogo analiza, Cifrovaa obrabotka izo- brażenij, Sbornik naucnyh trudov, Vyp. 4, Minsk: ITK NAN Belarusi, s. 107-116, 2000.
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  • [6] D.M. Lagunovsky, S.V. Ablameyko, V.A. Kirillov, Segmentation of Cytological Images by Choosing Appropriate Color Components, Proc. of PRIP’2001 Conf. Vol.l, pp. 55-58, 2001.
  • [7] Cheng Heng-Da, Sun Ying, A Hierarchical Approach to Color Image segmentation Using Homogeneity. IEEE Transactions On Image Processing, vol9, no. 12, pp. 20712082.
  • [8] A. Nedzved. S. Ablameyko, I. Pitas. Morphological segmentation of histology cell images, Proceedings of Intern. Conference on Pattern Recognition, 2000.
  • [9] J.A.F. Costa, N.D.A. Mascarenhas, M.L. de Andrade Netto, , Cell nuclei segmentation in noisy images using morphological watersheds, Proc. SPIE, vol.3164, pp. 314324. 1997.
  • [10] Hai-Shan Wu, J. Barba. J. Gil. Morphological segmentation of textured cell images, Imaging Sci. Technol., vol.40, no.3, pp. 265-270. 1996.
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  • [13] S. Rachid. N. Niki. H. Nishitani. S. Nakamura, S. Mori, Segmentation of sputum color image for lung cancer diagnosis based on neural networks, Proceedings of 9th International Conference on Image Analysis and Processing, vol.2. pp. 461-468. 1997.
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  • [15] Hai-Shan Wu, J. Barba, J. Gil, An iterative algorithm for cell segmentation using shorttime Fourier transform, J. Microsc., vol. 184, pt.2, 127-132, 1996.
  • [16] A.D.H. Thomas. T. Davies, A.R. Lux- moore, The Hough transform for locating cell nuclei, Proceedings of IEE Colloquium on Applications of Image Processing in Mass Health Screening (Digest No.056), 8/1-4, 42, 1992.
  • [17] T. Mouroutis. S.J. Roberts, A.A. Bharath, Robust cell nuclei segmentation using statistical modeling, Bioimaging, vol.6, no.2, pp. 79-91, 1998.
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  • [21] F. Kurugollu, B. Sankur, Color cell image segmentation using pyramidal constraint satisfaction neural network, Proceedings of IAPR Workshop on Machine Vision Applications, pp. 85-88, 1998.
  • [22] A.M. Nedzved, S.V. Ablameyko, Thinning of the Gray-Scale and Color Images by Sequential Analysis of the Binary Layers, Pattern Recognition and Image Analysis, Vol.10, No.2, pp. 226-235, 2000.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0001-0038
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