Atypical Lymphocyte Cell Counting System in Blood Smears of Dengue Fever Patients Based on Digital Image Processing Using Improved Counting Morphology Method
Ahmad Fahrudi Setiawan S.Kom, M.T*1) Prof. Dr. dr. Yuyun Yueniwati Prabowowati Wajib, M.Kes., Sp.Rad.*1), Prof. Dr. Dr. Kusworini, M.Kes., SpPK*1), Prof. Dr. Ing. Setyawan P. Sakti, M.Eng*2)

1.Doctoral Program of Medical Science, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.

2.Physics Department, Faculty of Mathematics and Natural Science, Universitas Brawijaya, Malang, Indonesia.

Abstract

The presence of atypical lymphocyte cells (blue plasma lymphocytes) in the blood smear of a patient suspected of dengue is a specific sign that the person concerned is positive for an attack of dengue fever. In general, the counting of atypic lymphocyte cells is done manually under a microscope, but this method has consequences for counting errors and a longer time. In digital image processing, we can use the improved counting morphology method to count atypic lymphocytes faster and more accurately than manual calculations under a microscope. The improved counting morphology algorithm uses the concept of adjacency 8 as the basis for calculating atypical lymphocytes by memorizing the neighbor next to it, if the color next to it is the same color as the reference point, it is said that the pixel points are neighbors or cognate with the reference pixel point and are counted as the same object. But on the contrary, if a pixel point is not related to its neighbors, it means that the pixel point is a separator or a different object.

Keywords: Dengue, Atypical Lymphocyte Cell Counting, Digital Image Processing, Improved Counting Morphology

Topic: Information Processing and Engineering