ICIP 2006, Atlanta, GA

Slide Show

Atlanta Conv. & Vis. Bureau


My ICIP 2006 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Paper Detail

Session:Biomedical Image Segmentation
Time:Monday, October 9, 10:00 - 10:20
Presentation: Lecture
Topic: Biomedical Imaging: Biomedical image segmentation and quantitative analysis
Authors: Hyohoon Choi; University of Texas at Austin 
 Kenneth Castleman; Advanced Digital Imaging Research, LLC 
 Alan Bovik; University of Texas at Austin 
Abstract: Multicolor fluorescence in-situ hybridization (M-FISH) technique provides color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole human chromosomes. Currently available M-FISH systems exhibit misclassifications of multiple pixel regions that are often larger than the actual chromosomal rearrangement. This paper presents a novel unsupervised classification method based on fuzzy logic classification and a prior adjusted reclassification method. Utilizing the chromosome boundaries, the initial classification results improved signifi- cantly after the prior adjusted reclassification while keeping the translocations intact. This paper also presents a new segmentation method that combines both spectral and edge information. Ten M-FISH images from a publicly available database were used to test our methods. The segmentation accuracy was more than 98% on average.