DocumentCode :
2402689
Title :
Unsupervised colour segmentation of white blood cell for acute leukaemia images
Author :
Abdul Nasir, A.S. ; Mashor, M.Y. ; Rosline, H.
Author_Institution :
Sch. of Mechatron. Eng., Res. Group, Univ. Malaysia Perlis, Arau, Malaysia
fYear :
2011
fDate :
17-18 May 2011
Firstpage :
142
Lastpage :
145
Abstract :
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.
Keywords :
biomedical optical imaging; blood; cancer; cellular biophysics; image colour analysis; image segmentation; medical image processing; pattern clustering; HSI based colour segmentation; WBC composition; WBC segmentation; acute leukaemia images; colour image segmentation; computer vision; cytoplasm region; hue-saturation-intensity colour space; k-means clustering algorithm; linear contrast technique; nucleus region; patient diagnostic information; unsupervised colour segmentation; white blood cell; Cells (biology); Clustering algorithms; Image color analysis; Image segmentation; Pixel; White blood cells; Acute leukaemia; HSI colour space; colour segmentation; k-means clustering; linear contrast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-61284-894-5
Type :
conf
DOI :
10.1109/IST.2011.5962188
Filename :
5962188
Link To Document :
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