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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/11107

Title: Segmentation of tuberculosis bacilli in Ziehl-Neelsen tissue slide images using Hibrid Multilayered Perceptron network
Authors: M. K., Osman
Mohd Yusoff, Mashor, Prof. Madya Dr.
Jaafar, H.
???metadata.dc.contributor.url???: khusairi@ppinang.uitm.edu.my
Keywords: Biomedical image processing;Image segmentation;Neural network applications
Issue Date: 10-May-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p.365-368
Series/Report no.: Proceedings of the 10th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA) 2010
Abstract: Segmentation of Zeihl-Neelsen tissue slide images is an important step in computer-assisted tuberculosis bacilli detection. In Zeihl-Neelsen tissue slide image, colour is the most prominent feature to detect the presence of tuberculosis bacilli from its image. In this paper, an automatic colour image segmentation using neural network is proposed. The segmentation is based on supervised approach using Hybrid Multilayered Perceptron network. Colour images are converted to HSI colour space before being segmented by the network. The colour image are characterised in HSI colour space for better colour representation. Experimental results indicate that the proposed method provides good segmentation on variety of Ziehl-Neelsen tissue slide images.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=5605524
http://hdl.handle.net/123456789/11107
ISBN: 978-1-4244-7165-2
Appears in Collections:Conference Papers
Mohd Yusoff Mashor, Prof. Dr.

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