Automated Detection Of Chromosome Aberration Using Color Information

Chung-Ho Chen; Yao Wang; Sanjit K. Mitra; Joe W. Gray

doi:10.1117/12.969746

1 March 1990 Automated Detection Of Chromosome Aberration Using Color Information

Chung-Ho Chen, Yao Wang, Sanjit K. Mitra, Joe W. Gray

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969746
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

An automated scheme for the detection of chromosome aberrations in color chromosome images is described. The analysis scheme consists of three steps: segmentation, clustering, and scene understanding. First the target chromosome pixels are segmented via thresholding based on a chosen color measure. Then a clustering technique is applied to cluster the target chromosome pixels into groups in such a way that every group corresponds to a unique target chromosome domain. Finally, human chromosome aberrations are detected by calculating the geometrical properties of each detected group and counting the number of the confirmed target chromosomes. Experiments have been carried out to compare the effectiveness of several color measures for the purpose of the segmentation. Moreover, a novel self-tuning thresholding method has been developed to improve the robustness of segmentation. With this method, chromosome aberrations can be idetified even under different background brightness and chrominance distribution.

Citation Download Citation

Chung-Ho Chen, Yao Wang, Sanjit K. Mitra, and Joe W. Gray "Automated Detection Of Chromosome Aberration Using Color Information", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); https://doi.org/10.1117/12.969746

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