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Fast Segmentation of Sub-cellular Organelles
Dilip Kumar Prasad, Chai Quek, Maylor K. H. Leung
Pages - 317 - 325     |    Revised - 15-09-2012     |    Published - 24-10-2012
Volume - 6   Issue - 5    |    Publication Date - October 2012  Table of Contents
Segmentation, Bio-cell Organelles, Fluorescence Microscopy, Ellipse Detection
Segmentation and counting sub-cellular structure is a very challenging problem even for medical experts. A fast and efficient method for segmentation and counting of sub-cellular structure is proposed. The proposed method uses a hybrid combination of several image processing techniques and is effective in segmenting the sub-cellular structures in a fast and effective manner.
CITED BY (6)  
1 Niri, E. D., & Singh, T. (2016). Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data. Pattern Recognition, 55, 160-171.
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3 Prasad, D. K. (2013). Object detection in real images. arXiv preprint arXiv:1302.5189.
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Mr. Dilip Kumar Prasad
- Singapore
Mr. Chai Quek
Nanyang Technological University - Singapore
Mr. Maylor K. H. Leung
Universiti Tunku Abdul Rahman - Malaysia