Advanced Techniques in Biology & Medicine
Open Access

G Sivaradje

Publications

• Research Article
  Growth Rate Analysis of Stem Cells, By Using Segmentation, Features Extraction and Pattern Recognition
  Author(s): R Nathiya and G Sivaradje R Nathiya and G Sivaradje
  
  Stem cells have the remarkable ability to cultivate itself into any kind of cell in the body at their early stage of growth. In some organs, such as the gut and bone marrow, stem cells regularly divide to repair and replace worn out or damaged tissues. The existing methodology for stem cell analysis image segmentation makes use of a morphological technique applied on the fluorescent cells so as to get a clear cut segmented image. For this the wavelet Otsu Curvelet paradigm is used in where the image or frame is filtered, Curvelet is used for better edge enhancement and Wavelet is used for multi-scale resolution. Segmentation using Otsu model, reduces the average weight of class variances from various pixels to provide an optimal threshold value. From the segmented image feature, vectors are obtained using Grey level co-occurrence matrix (GLCM) technique which plays a vital role in ext.. View More»
  DOI: 10.4172/2379-1764.1000143

  Abstract PDF

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