Automatic recognition of human chromosome

• Main Authors: I-Han Liu, 劉以涵
• Other Authors: Jen-Hui Chaung
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/58670582257279082217

碩士 === 國立交通大學 === 資訊科學系所 === 93 === In this paper we present our approach for automatic recognition of human chromosomes. The method we used integrates several novel algorithms to automatically obtain the karyotype of chromosomes of metaphase cell spreads. The characteristics that according to the classes chromosomes are gradually shortened by lengths and each of the 24 classes possesses unique banding patterns can be used to perform chromosome recognition. In the proposed approach, we first obtain the longitudinal axes from chromosome images, and then extract features from band-pattern profiles along the obtained longitudinal axes. After normalization, the features are correlated to obtain the matching scores for every two aligned profiles. Experiments show that the proposed algorithm is efficient and very robust.