Research on automatic human chromosome image analysis

Delie Ming; Jinwen Tian; Jian Liu

doi:10.1117/12.750267

15 November 2007 Research on automatic human chromosome image analysis

Delie Ming, Jinwen Tian, Jian Liu

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67881T (2007) https://doi.org/10.1117/12.750267
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Human chromosome karyotyping is one of the essential tasks in cytogenetics, especially in genetic syndrome diagnoses. In this thesis, an automatic procedure is introduced for human chromosome image analysis. According to different status of touching and overlapping chromosomes, several segmentation methods are proposed to achieve the best results. Medial axis is extracted by the middle point algorithm. Chromosome band is enhanced by the algorithm based on multiscale B-spline wavelets, extracted by average gray profile, gradient profile and shape profile, and calculated by the WDD (Weighted Density Distribution) descriptors. The multilayer classifier is used in classification. Experiment results demonstrate that the algorithms perform well.

Citation Download Citation

Delie Ming, Jinwen Tian, and Jian Liu "Research on automatic human chromosome image analysis", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67881T (15 November 2007); https://doi.org/10.1117/12.750267

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