Unsupervised colour segmentation of white blood cell for acute leukaemia images

@article{Nasir2011UnsupervisedCS,
  title={Unsupervised colour segmentation of white blood cell for acute leukaemia images},
  author={A. S. Abdul Nasir and M. Y. Mashor and Hassan Rosline},
  journal={2011 IEEE International Conference on Imaging Systems and Techniques},
  year={2011},
  pages={142-145}
}
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… CONTINUE READING
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One of the main tasks is the segmentation of white blood cell ( WBC ) where the WBC composition reveals important diagnostic information of a patient .
One of the main tasks is the segmentation of white blood cell ( WBC ) where the WBC composition reveals important diagnostic information of a patient .
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 .
One of the main tasks is the segmentation of white blood cell ( WBC ) where the WBC composition reveals important diagnostic information of a patient .
One of the main tasks is the segmentation of white blood cell ( WBC ) where the WBC composition reveals important diagnostic information of a patient .
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 .
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