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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/7405

Title: Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
Authors: Rafikha Aliana, A. Raof
Zaleha, Salleh
S. I. Sahidan
Mohd Yusoff, Mashor
S. S., Mohd Noor
Fayez, Mohamad Idris
Habsah, Hasan
???metadata.dc.contributor.url???: rafikha@unimap.edu.my
Keywords: Color thresholding;Image segmentation;Sputum slide;Tuberculosis;Ziehl-neelsen;Diseases;Medical image processing;Microorganisms;Image colour analysis
Issue Date: 12-Nov-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p.212-217
Series/Report no.: Proceedings of the 5th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2008)
Abstract: Most of the thresholding procedures involved setting of boundaries based on grey values or intensities of image pixels. In this paper, the thresholding is to be done based on color values in images of Ziehl-Neelsen sputum slides. The color thresholding technique is being carried out based on the adaptation and slight modification of the grey level thresholding algorithm. Multilevel thresholding has been conducted to the RGB color information of the bacterium to extract it from the sputum and other objects. Five types of different images have been used in the study of color information. The results showed that by using the selected threshold values, the image segmentation technique has been able to separate the sputum from the mycobacterium.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4723398
http://hdl.handle.net/123456789/7405
ISBN: 978-1-4244-2498-6
Appears in Collections:Conference Papers
Mohd Yusoff Mashor, Prof. Dr.

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