Browsing Mohd Yusoff Mashor, Prof. Dr. by Subject "Tuberculosis bacilli"
Now showing items 1-4 of 4
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Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving K-Mean clustering procedure
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05)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 ... -
Detection of tuberculosis bacilli in tissue slide images using HMLP network trained by Extreme Learning Machine
(Kauno Technologijos Universitetas, 2012-04)This paper proposes an automated detection of tuberculosis bacilli in Ziehl-Neelsen-stained tissue slides using image processing and neural network. Image segmentation using CY-based colour filter and k-mean clustering ... -
Enhancement techniques for tuberculosis slide images: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Tuberculosis (TB) is a very hazardous disease caused by infection of germ Mycobacterium tuberculosis that can cause death to the patient. TB can spread like common flu such as through air or direct body fluid connection. ... -
Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation.
(Institute of Electrical and Electronics Engineers (IEEE), 2012-05-14)Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust ...