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|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.
|Keywords: ||Biomedical image processing|
Neural network applications
|Issue Date: ||10-May-2010 |
|Publisher: ||Institute of Electrical and Electronics Engineers (IEEE)|
|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/|
|Appears in Collections:||Mohd Yusoff Mashor, Prof. Dr.|
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