Indian Journal of Science and Technology
DOI: 10.17485/ijst/2018/v11i18/123037
Year: 2018, Volume: 11, Issue: 18, Pages: 1-5
Original Article
Tha. Sugapriyaa* , P. Kaviyapriya and P. Gomathi
Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, Thalavapalayam – 639113, Tamil Nadu, India; [email protected], [email protected], [email protected]
*Author for correspondence
Tha. Sugapriyaa,
Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, Thalavapalayam – 639113, Tamil Nadu, India; [email protected]
Objectives: Genetic problems can be identified by a test called Karyotyping. Karyotyping is used to find the abnormalities and genetic disorders or defects. The automated segmentation and disentangling of chromosomes are the challenging issues. Methods/Statistical Analysis: In current systems the separation between touching and overlapping chromosomes need human intervention. Different procedures are proposed to obtain the chromosome from its background. In this paper, an attempt is made to separate the chromosomes for Karyotyping in G-Band metaphase images. As a first step segmentation of chromosomes is done. Findings: Thesis carried out by means of local thresholding, region growing and edge detection methods. Then, the chromosome and its clusters are extracted by labelling the connected components. This process successfully separates individual chromosomes. Application: Medical image Processing.
Keywords: Chromosome Analysis, Edge Detection, Image Segmentation, Karyotyping, Region Growing
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