Finding leukocyte region in microscopic images

Abstract

Microscopic analysis of images in the health care at the cellular level is one of the important methods for analysis and final diagnosis. In the diagnosis of blood diseases, although high technology systems provide very important information, for a definitive diagnosis microscopic smear examinations are needed. Microscopic examination is a time-consuming task for doctors. Therefore, in this study a basic system has been developed that may speed up the eye examination. In future, further development of this system may be an alternative to visual examination. From the basic blood cells (leukocyte, erythrocyte, platelet), we only focused on the locations of white blood cells in the image. In the development process of this system real blood smear images has been used. In this study iterative algorithms are not used instead of this, logical and morphological processes have been used. This allows faster operation of the system.