Texture based segmentation of cell images using neural networks and mathematical morphology

Author

de Medeiros Martins, A. ; Neto, A.D.D. ; Brito, A.M. ; Sales, Alexandre ; Jane, Sara

Author_Institution

Univ. Federal do Rio Grande do Norte, Natal, Brazil

Volume

4

fYear

2001

fDate

2001

Firstpage

2489

Abstract

In this paper we show a new technique of image segmentation that uses a pre-processing algorithm combined with an unsupervised method of segmentation that uses a competitive neural network. The segmentation is based on the texture present in the image. We tested the algorithm in a system built to classify and count the number of cells in the image. After the segmentation, the system uses mathematical morphology techniques to improve the segmentation process. An online version of the system was implemented, making it easily available for those interested in using it

Keywords

cellular biophysics; image classification; image segmentation; image texture; mathematical morphology; medical image processing; neural nets; cell image segmentation; competitive neural network; image segmentation; mathematical morphology; online system; pre-processing algorithm; texture based segmentation; Biomedical imaging; Digital images; Image segmentation; Laboratories; Morphology; Neural networks; Pathology; Proteins; Surgery; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-7044-9

Type

conf

DOI

10.1109/IJCNN.2001.938758

Filename

938758