@article{1640,
  author = {Tanvi, Renu Dhir},
  title = {Computational Geometry-based Overlapping Chromosome Images Management},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2014},
  volume = {5},
  number = {4},
  doi = {},
  url = {},
  abstract = {Classification of chromosomes have impct in the recent research. The chromosomes are non-rigid material and they are several times touching each other or they overlap each other in the metaphase images. Now many techniques are required to understand the overlapping chromosomes. This paper presents a novel method for segmenting chromosomes based upon computational geometry. In the proposed approach first the contour line is traced for the overlapping chromosomes and then all the cut points are traced for the overlapping chromosomes. Then based on computational
geometry method a specific number of cut points are selected and they are used for separating the two chromosomes. We have found that 87.4% of the images were correctly segmented using the proposed method.},
}