Detection of Specific Human Chromosomal Abnormalities Using Discrete Cosine Transform Based Gradient Vector Flow Active Contours
A. Prabhu Britto
In this study, Discrete Cosine Transform (DCT) based Gradient Vector Flow (GVF) active contours are studied and found to have good strength for using as a suitable tool for the detection of specific human chromosomal abnormalities. The DCT based GVF active contours have been investigated by the authors and already established as an efficient boundary mapping tool for human chromosome spread images and also found to be a suitable classification tool for human chromosome images. Further studies on the DCT based GVF active contours show that specific human chromosomal abnormalities can be detected using these active contours. The main strength of this study is that DCT based GVF active contours are being used for the first time for detection of chromosomal abnormalities and they have been found to have good strength for application as a detection tool for chromosomal abnormalities.
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