Segmentation of Acute Lymphoblastic Leukemia Using C-Y Color Space

Medical image analysis process usually starts with segmentation step, which aims to separate different objects in the image scene. This is achieved by mainly dividing the image into two parts, the region of interest (ROI) and the background. Segmentation of acute lymphoblastic leukemia blood cell (ALL) based on microscope color image is one of the important step in the recognition process. This paper proposed a technique which aims to segment the color image of acute leukemia by transforming the RGB color space to C-Y color space .in the C-Y color space, the luminance component is used to segment (ALL) .The proposed algorithm runs on 100 microscopic ALL images and the experimental result shows that the proposed system can provide a good segmentation of ALL from its complicated background and shows that the segmentation accuracy of the proposed technique is 98.38% compared to the result of the manual segmentation method by expert.

@article{Mohammed2014,
  title     = {Segmentation of Acute Lymphoblastic Leukemia Using C-Y Color Space},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {11},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Reham Mohammed and Omima Nomir and Iraky Khalifa},
  doi       = {10.14569/IJACSA.2014.051117},
  url       = {https://doi.org/10.14569/IJACSA.2014.051117}
}