Unsupervised colour segmentation of white blood cell for acute leukaemia images
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Institute of Electrical and Electronics Engineers (IEEE)
2011
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my.unimap-140752014-06-27T09:48:20Z Unsupervised colour segmentation of white blood cell for acute leukaemia images A. S., Abdul Nasir Mohd Yusoff, Mashor, Prof. Dr. H., Rosline aimi_salihah@yahoo.com roslin@kb.usm.my Acute leukemia Colour segmentation HSI colour space K-means clustering Linear contrast Link to publisher's homepage at http://ieeexplore.ieee.org/ Colour image segmentation has becoming more popular for computer vision due to its important process in most medical analysis tasks. One of the main tasks is the segmentation of white blood cell (WBC) where the WBC composition reveals important diagnostic information of a patient. In this paper, the combination between linear contrast technique and colour segmentation based on HSI (Hue, Saturation, Intensity) colour space were used in order to obtain a fully segmented abnormal WBC and nucleus of acute leukaemia images. The unsupervised segmentation technique namely k-means clustering algorithm is used to ease the segmentation process. By implementing the proposed segmentation technique, the fully segmented WBC which consists of cytoplasm and nucleus regions can be achieved by using the combination of linear contrast technique and segmentation based on H component image. Meanwhile, the fully segmented nucleus can be obtained by applying the segmentation based on S component image. The combinations between linear contrast technique and segmentation based on HSI colour space have produced a better effect on improving the accuracy of WBC segmentation with segmentation accuracies of 99.02% and 99.05% for segmented WBC and nucleus, respectively. 2011-10-08T07:42:14Z 2011-10-08T07:42:14Z 2011 Working Paper p. 142-145 978-1-6128-4896-9 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5962188&tag=1 http://hdl.handle.net/123456789/14075 en Proceedings of the International Conference on Imaging Systems and Techniques (IST 2011) Institute of Electrical and Electronics Engineers (IEEE) |
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Universiti Malaysia Perlis |
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| language |
English |
| topic |
Acute leukemia Colour segmentation HSI colour space K-means clustering Linear contrast |
| spellingShingle |
Acute leukemia Colour segmentation HSI colour space K-means clustering Linear contrast A. S., Abdul Nasir Mohd Yusoff, Mashor, Prof. Dr. H., Rosline Unsupervised colour segmentation of white blood cell for acute leukaemia images |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| author2 |
aimi_salihah@yahoo.com |
| author_facet |
aimi_salihah@yahoo.com A. S., Abdul Nasir Mohd Yusoff, Mashor, Prof. Dr. H., Rosline |
| format |
Working Paper |
| author |
A. S., Abdul Nasir Mohd Yusoff, Mashor, Prof. Dr. H., Rosline |
| author_sort |
A. S., Abdul Nasir |
| title |
Unsupervised colour segmentation of white blood cell for acute leukaemia images |
| title_short |
Unsupervised colour segmentation of white blood cell for acute leukaemia images |
| title_full |
Unsupervised colour segmentation of white blood cell for acute leukaemia images |
| title_fullStr |
Unsupervised colour segmentation of white blood cell for acute leukaemia images |
| title_full_unstemmed |
Unsupervised colour segmentation of white blood cell for acute leukaemia images |
| title_sort |
unsupervised colour segmentation of white blood cell for acute leukaemia images |
| publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| publishDate |
2011 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/14075 |
| _version_ |
1643791133752426496 |
| score |
13.211869 |