An iterative algorithm for segmenting lanes in gel electrophoresis images

Author

Machad, Alexei M C ; Campos, Mario F M ; Siqueira, Ari M. ; De Carvalho, Osvaldo S F

Author_Institution

Dept. of Comput. Sci., Univ. Federal de Minas Gerais, Belo Horizonte, Brazil

fYear

1997

fDate

14-17 Oct 1997

Firstpage

140

Lastpage

146

Abstract

In this paper we discuss the application of spatial-domain filters for solving the problem of automatic lane detection on gel electrophoresis computer images. The problem can be posed as the determination of the number, location and orientation of lanes on the image, based on the analysis of their gray-level intensities. A novel iterative filtering algorithm is proposed based on the periodicity of image projection pattern. The algorithm is compared with clustering and frequency-domain filtering methods in terms of their effectiveness and efficiency from which a trade-off solution is presented

Keywords

electrophoresis; image segmentation; iterative methods; medical image processing; spatial filters; automatic lane detection; frequency-domain filtering methods; gel electrophoresis images; gray-level intensities; image projection pattern; iterative filtering algorithm; lanes segmentation; spatial-domain filters; Biochemistry; Clustering algorithms; DNA; Electrokinetics; Filtering algorithms; Genetics; Humans; Image segmentation; Iterative algorithms; Pattern analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics and Image Processing, 1997. Proceedings., X Brazilian Symposium on

Conference_Location

Campos do Jordao

Print_ISBN

0-8186-8102-0

Type

conf

DOI

10.1109/SIGRA.1997.625161

Filename

625161