Automatic Cytoplasm and Nucleus detection in the white blood cells depending on hisogram analysis

Abstract

Programmed identification of white platelets (WBCs) stays an uncertain issue in medicinal imaging. The first step in this algorithm is to detect a white blood cell (Lymphocyte) and then segments the Cytoplasm and Nucleus in this cell. This was done by using image processing Techniques. The suggested method depending on the binary conversion of red, blue and hue compounds depending on threshes values. These values were calculated from histogram analysis within specific ranges. The proposed algorithm was compared with several other algorithms for detection by using an accuracy scale in the detection. where the proposed algorithm obtained a high distinction accuracy reached 98% compared to other methods.