ABSTRACT
Objective:To design a automatic classification system for leukocytes in order to increase detection speed of manual microscope inspection and reduce the inaccurate detected results in clinical laboratory; and to evaluate this system.Methods: In this system, the image processing and algorithm classifying were achieved by MATLAB software consisted of digital image processing module and automatic classification module. Classification decision for discrimination function and simulated detection for this system were achieved by using automatic classification module.Results: In the simulation experiments, the detection results for sample cell demonstrated the recognition accuracy can achieve to 93% and the speed can achieve to 97.8 cells per second for this system.Conclusion: The automatic recognition and classification system for leukocyte not only reduces human consumption, but also improves the detection accuracy and detection speed for leukocyte, and it has some significant in clinical application.