Joint segmentation and classification of M-FISH chromosome images

Author

Choi, Hyohoon ; Castleman, Kenneth R. ; Bovik, Alan C.

Author_Institution

Texas Univ., Austin, TX, USA

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

1636

Lastpage

1639

Abstract

Automatic segmentation and classification of M-FISH chromosome images are jointly performed using a six-feature, 25-class maximum-likelihood classifier. Preprocessing of the images including background correction and six-channel color compensation method are introduced. A feature transformation method, spherical coordinate transformation, is introduced. High correct classification results are obtained.

Keywords

biological techniques; biology computing; cellular biophysics; fluorescence; image classification; image segmentation; M-FISH chromosome images; background correction; feature transformation; image classification; image preprocessing; image segmentation; maximum-likelihood classifier; multiplex-fluorescence in situ hybridization; six-channel color compensation; spherical coordinate transformation; Biological cells; Color; Colored noise; Counting circuits; Humans; Image segmentation; Labeling; Noise reduction; Pixel; Testing; Chromosome; Classification; M-FISH; Maximum-likelihood; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403495

Filename

1403495