Automated extraction of nuclear boundaries

Author

Wang, H. ; Ong, S.H.

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore

fYear

1998

fDate

20-22 May 1998

Firstpage

85

Lastpage

87

Abstract

The authors present an automated method for the extraction of cell nuclei in images of kidney tissue sections. There are two stages in the segmentation strategy: (a) coarse segmentation by thresholding and morphological processing, and (b) accurate extraction of the nuclear boundary by region growing. The segmentation procedure is performed in a global manner and computationally less expensive than local approaches. Results obtained by applying the algorithm to several tissue images confirm its reliability

Keywords

cellular biophysics; edge detection; feature extraction; image segmentation; kidney; medical image processing; optical microscopy; accurate extraction; automated extraction; automated method; cell nuclei extraction; coarse segmentation; diagnostic interpretation; kidney tissue images; morphological processing; nuclear boundaries; segmentation strategy; thresholding; Anisotropic magnetoresistance; Electrons; Histograms; Image resolution; Image segmentation; Image texture analysis; Inspection; Machine vision; Manuals; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Days, 1998. Proceedings of the 1998 2nd International Conference

Conference_Location

Istanbul

Print_ISBN

0-7803-4242-9

Type

conf

DOI

10.1109/IBED.1998.710576

Filename

710576