Title :
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
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;
Conference_Titel :
Computer Graphics and Image Processing, 1997. Proceedings., X Brazilian Symposium on
Conference_Location :
Campos do Jordao
Print_ISBN :
0-8186-8102-0
DOI :
10.1109/SIGRA.1997.625161
