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WBC Analysis Through Image Processing
Christine D. Bandalan,Randy G. Alegre,Angelie C. Allego,Paolo Francisco E. Alonso,Daniel L. Balagosa,Rodrigo C. Talingting Jr 대한전자공학회 2010 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
This study aims to develop a simple, cost effective and efficient neutrophil, lymphocyte and monocyte counter using image processing techniques. To achieve this, a microscope, with a CCD camera mounted on it, is interfaced with the system. The camera provides the live feed from the microscope which is the source of still images that are subjected to the software for assessment. OpenCV library is used in the image processing techniques. The process has two main modules ? cell detection and cell matching. In cell detection, the region of interest (ROI) is extracted and undergoes image matching by means of histogram method. Matching module is subdivided into three ? neutrophil matching, lymphocyte matching and monocyte matching. The result of the matching process is the classification of the detected cell which can be neutrophil, lymphocyte, monocyte or unclassified. Additionally, the total number of neutrophils, lymphocytes and monocytes including unclassified cells found per image and on all images are given.