Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving K-Mean clustering procedure
Link to publisher's homepage at http://ieeexplore.ieee.org/
Saved in:
Main Authors: | M. K. Osman, Mohd Yusoff, Mashor, Prof Madya Dr., Z. Saad, H. Jaafar |
---|---|
Other Authors: | khusairi@ppinang.uitm.edu.my |
Format: | Working Paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2010
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/10174 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation.
by: Mohammad Khusairi, Osman, et al.
Published: (2013) -
Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine
by: Muhammad Khusairi, Osman, et al.
Published: (2011) -
Colour image enhancement using bright and dark stretching techniques for tissue based Tuberculosis Bacilli detection
by: Muhammad Khusairi, Osman, et al.
Published: (2009) -
Combination of local and dark stretching for Ziehl-Neelsen TB bacilli slide images in tissue and sputum samples
by: Nurul Wahidah, M. F., et al.
Published: (2013) -
Watershed algorithm for TB Bacilli image segmentation
by: Muhammad Nadzrin, Pairazi
Published: (2016)