White blood cell (WBC) plays an important role inside
human body, because it is acting as the body defense mechanism
against infection and cellular injury. Segmentation in biomedical
imaging often the starting point for other process. In this paper an
Intelligent classifier has been used to classify the normal and
abnormal WBC, this model built using MATLAB 7 package. The
output from active contour model (ACM) will be the input to the
intelligent classifier . The accuracy of classification is about 90%
according to American Heart Association (AHA) to evaluate
procedures for diagnose in biomedical applications. The approach
provide a robust and accurate results.