Localization of white blood cell images using Haar Cascade classifiers

Haar Cascade Classifier is a method for detection of objects within an image, which is widely applied on face detection. This paper discusses the utilization of Haar Cascade Classifier in locating the positions of white blood cells in an image. The results showed that this method is able to localize white blood cells with precision and recall values of 95% and 74% respectively. This method is also able to distinguish white blood cells from other objects that have color resembling white blood cells.