The automatic measurement of a staining reaction level

• Autorzy: Koprowski R. , Wróbel Z.
• Języki publikacji: EN

Abstrakty

EN

The paper presents an application of an algorithm for automatic segmentation of biological cell structures. The algorithm, based on two morphological operations - conditional opening and con­ditional closing, is described in detail in [8]. The results of the segmentation of biological cell structure images as well as the evaluation of a staining reaction saturation level and its metrological properties are studied.

Słowa kluczowe

EN

cell; cell structure; medical research; medical diagnostics

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2006
• Tom: Vol. 15, No. 2
• Strony: 227--238
• Opis fizyczny: Bibliogr. 8 poz., il., wykr.

Twórcy

autor

Koprowski R.

autor

Wróbel Z.

• University of Silesia, Faculty of Computer Science and Materials Science, Institute of Computer Science, Department ol Biomedical Computer Systems, ul. Będzińska 39, 41-200 Sosnowiec,

Bibliografia

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• [3] Palus H.: Colour spaces in computer vision. Machine Graphics and Vision, 1(3), 543-554, 1992.
• [4] Todman A., Claridge C.: Cell segmentation in histological images of striated muscle tissue - aper-ceptual grouping approach, Proceedings of Medical Image Understanding and Analysis, 1997.
• [5] Lin W. et al.: A computational intelligence system for cell classification. ITAB98, Proc. of IEEE Int. Conf. on Inf. Tech. Applications to Biomedicine, 105-109, 1998.
• [6] Zhang. J., Sokhansanj S., Wu S., Fang R., Yang W., Winter P.: A transformation technique from RGB signals to the Munsell system for colour analysis of tobacco leaves. Computers and Electronics in Agriculture, 19(2), 155-166, 1998.
• [7] Muthiah K., Sanei S., Ong H.: Application of CL-NN to blood cell morphology. Proc. Of 10th Int. Conf. on Biomedicine Eng., Singapore, 630, 2000.
• [8] Koprowski R., Wróbel Z.: Automatic segmentation of biological cell structures based on conditional opening or closing. Machine Graphics and Vision, 14(3), 285-307, 2005.