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http://hdl.handle.net/123456789/10174
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| Title: | Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving K-Mean clustering procedure |
| Authors: | M. K. Osman
Mohd Yusoff, Mashor, Prof Madya Dr.
Z. Saad
H. Jaafar |
| E-mail: | khusairi@ppinang.uitm.edu.my |
| Keywords: | Colour image segmentation
Tuberculosis bacilli
Tissue section
Moving k-mean clustering |
| Issue Date: | May-2010 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | p.215-220 |
| Series/Report no.: | Proceedings of the 4th Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation 2010 |
| Abstract: | Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in
computerassisted tuberculosis bacilli detection. In this paper, an automatic colour image
segmentation using moving k-mean clustering was proposed. First, initial filter is used to remove
the tissues images which remain blue after counterstaining process. After that, moving k-mean
clustering using green component of RGB colour model and Rycomponent of C-Y colour model
are used to segment the TB bacilli from its undesirable background which also remains red even
after decolourization process. Then a 5×5 median filter and region growing was used to eliminate
small regions and noises. The proposed methods have been analysed for several TB slide images
under various conditions. Experimental results indicate that the proposed techniques were
successfully segment TB bacilli from its background. |
| Description: | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| URI: | http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=5489226
http://hdl.handle.net/123456789/10174 |
| ISBN: | 978-1-4244-7196-6 |
| Appears in Collections: | Mohd Yusoff Mashor, Prof. Dr.
Conference Papers
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