Abstract
Automated separation and classification of touching or overlapping chromosomes in a metaphase image is a critical step in computer-aided chromosome analysis. The advent of the multiplex fluorescence in situ hybridization (M-FISH) technology enables multi-spectral chromosome image with rich spectral information and DAPI image with abundant texture information. This paper presents a fusion classification scheme to improve the segmentation of overlapping and touching chromosomes. First, the texture and spectral information is fused to partition the chromosome cluster into a series of homologous regions. Then a graph-theoretical classification and pairing method is proposed to resolve any remaining ambiguity of the aforementioned separation process. Experiment results demonstrate that the proposed method outperforms conventional multi-spectral classification methods in touching and overlapping chromosome separation.
| Original language | English |
|---|---|
| Pages (from-to) | 31-39 |
| Number of pages | 9 |
| Journal | Pattern Analysis and Applications |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2013 |
Keywords
- Chromosome
- Chromosome image classification
- Homolog pairing
- Information fusion
- Multi-spectral imaging
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