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A Novel Approach for Segmentation of Human Metaphase Chromosome Images Using Region
        
        The chromosomes are the genetic information carries. A healthy human being has 46 chromosomes. Any alteration 
in either the  number of chromosomes or the structure  of chromosomes in a human being is diagnosed as a genetic  defect.  To 
uncover  the  genetic  defects  the  metaphase  chromosomes  are  imaged and analyzed. The  metaphase  chromosome  images  often 
contain  intensity inhomogeneity  that  makes the  image  segmentation  task  difficult. The  difficulties  caused  by  intensity 
inhomogeneity can  be  resolved  by  using  region  based  active  contours techniques. These techniques uses  the  local  intensity 
values  of  the nearby regions  of  the  objects  and  find  the  approximate  intensity  values  along  both  sides  of  the  contour. In  the 
proposed  work  a  segmentation  technique  has  been  proposed  to  segment  the  objects  present  in  the  human  metaphase 
chromosome  images  using  region  based  active  contours. The  proposed  technique  has  been quite  efficient  from  prospective  of 
number  of  objects  segmented.  The  method  has been tested  on Advanced  Digital  Imaging  Research (ADIR) dataset.  The 
experimental results have shown quite good performance.    
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