Title :
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
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;
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
DOI :
10.1109/IEMBS.2004.1403495
