Feature generation for the cell image recognition of myelogenous leukemia

The paper presents the preprocessing methods of the leukemic blast cells image in order to generate the features well characterizing different types of cells. The solved problems include: the segmentation of the bone marrow aspirate by applying the watershed transformation, selection of individual cells, feature generation on the basis of texture, statistical and geometrical analysis of the cells. These features are used as the input signals applied to the support vector machine used as the classifier. The numerical results of recognition of 12 different cell types are presented and discussed.