Automatic Pattern Extraction and Classification for Chromosome Images |
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Authors: | Delie Ming Jinwen Tian |
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Affiliation: | (1) National Key Laboratory of Science & Technology on multi-spectral information processing, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, Hubei province, People’s Republic of China |
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Abstract: | Chromosome image analysis and pattern classification is one of the essential tasks in genetic syndrome diagnoses. An automatic
procedure is introduced for chromosome image analysis. The pale-path algorithm is proposed to segment touching and overlapping
chromosomes. Medial axis is extracted by the middle point algorithm. Chromosome band is enhanced by the algorithm based on
multiscale wavelets Bi-spline, and extracted by average gray profile, gradient profile and shape profile. The multilayer classifier
is used to classify the chromosome pattern calculated by weighted density distribution algorithm. Experiment results demonstrate
that the algorithms perform well. |
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Keywords: | |
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