A semiautomated approach using GUI for the detection of red blood cells

Counting of Red Blood cell (RBC) is a significant measure that helps to diagnose specific diseases. Manual pathological RBCs counting process by experienced specialist is extremely tedious, time consuming, and imprecise which may be prone to high chance of error. Due to recent advancement, automated detection of red blood cell using image processing techniques is gaining popularity. In order to increase the accuracy of the results, it is preferred to accommodate experienced specialist in the RBC counting. In this paper, a new approach is presented for semi-automatically count of the RBCs. The user can specify the dimension of RBC by dragging two points over the image and then apply the Hough transform to detect the oval and biconcave shape of RBC with the specified diameter. The proposed semi-automatic system outperformed the automated system in terms of the executing time. In addition, the proposed system is supported by a GUI to facilitate the pathologist interaction with the proposed system.