A Proficient Segmentation of Mesenchymal Stem Cells by Curvelet OTSU Particle Swarm Optimisation Technique
Journal Title: Journal of Pharmaceutical and Biomedical Sciences - Year 2016, Vol 6, Issue 4
Abstract
Stem cells have authored its own impact in recent times due to their promise in providing newer and unique treatments for a great range of untreatable diseases. This is due to their potential dexterity to rejuvenate and repair the damaged tissue and restore the impaired body function. Though the mesenchymal stem cells have such fascinating characters, there is no quick and easy way to determine the quality of sample of such MSC’s. Hence there is a great need for quicker and easier quality assessment methods. In order to provide such quality assessment method the three techniques combined segmentation is proposed. The proposed segmentation system utilises Curvelet transform for decomposition, OTSU method for segmentation and PSO for optimisation. The curvelet transform is used since it has more directional specification and produce better enhancement result. The OTSU method is employed because of its automatic threshold selection property and its simple computational property. And particle swarm optimisation (PSO) is used for obtaining an optimised segmentation results. The output performance of segmentation results are efficiently viewed through boundary displacement error (BER), PSNR value, precision and recall parameters.
Authors and Affiliations
Ramachandran Nathiya, Gopalakrishnan Sivaradje
Keywords
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