2014, Article ID 979302, 17 pages, 2014. attern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia2Department of Pathology, UKM Medical Center, Universiti Kebangsaan Malaysia, Cheras, 56000 Kuala Lumpur, MalaysiaSegmentation and counting of blood cells are regarded as a vital step that helps to extract elements to diagnose some exact diseases like malaria or leukemia. The manual counting of white blood cells WBCs and red blood cells RBCs in microscopic images is a very tedious, time eating, and faulty process. Automatic evaluation will allow hematologist specialists to perform faster and more precisely. The proposed method uses an iterative based circle detection set of rules for matlab programming segmentation and counting of WBCs and RBCs. The separation of WBCs from RBCs was achieved by thresholding, and specific preprocessing steps were constructed for every cell type. Define trellis through the use of poly2trellis feature. Define matlab programming trellis structure to be used to configure matlab programming encoder through the use of matlab programming poly2trellis characteristic. Use matlab programming trellis structure to configure matlab programming convenc feature. Use matlab programming trellis architecture to configure matlab programming convenc function when encoding 10 one bit symbols. Convolutionally encode an all 1s three bit message with out puncturing utilized to matlab programming coded output. Then, convolutionally encode matlab programming same message with puncturing.
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2014, Article ID 979302, 17 pages, 2014. attern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia2Department of Pathology, UKM Medical Center, Universiti Kebangsaan Malaysia, Cheras, 56000 Kuala Lumpur, MalaysiaSegmentation and counting of blood cells are regarded as a vital step that helps to extract elements to diagnose some exact diseases like malaria or leukemia. The manual counting of white blood cells WBCs and red blood cells RBCs in microscopic images is a very tedious, time eating, and faulty process. Automatic evaluation will allow hematologist specialists to perform faster and more precisely. The proposed method uses an iterative based circle detection set of rules for matlab programming segmentation and counting of WBCs and RBCs. The separation of WBCs from RBCs was achieved by thresholding, and specific preprocessing steps were constructed for every cell type. Define trellis through the use of poly2trellis feature. Define matlab programming trellis structure to be used to configure matlab programming encoder through the use of matlab programming poly2trellis characteristic. Use matlab programming trellis structure to configure matlab programming convenc feature. Use matlab programming trellis architecture to configure matlab programming convenc function when encoding 10 one bit symbols. Convolutionally encode an all 1s three bit message with out puncturing utilized to matlab programming coded output. Then, convolutionally encode matlab programming same message with puncturing.