白细胞自动分类系统的设计

A design of automatic classification system for leukocyte

目的:设计一种白细胞自动识别分类系统,并对该系统进行评价,以解决临床实验室人工显微镜检查速度慢、检测结果不准确的问题。方法:采用MATLAB软件实现图像处理和算法分类,系统软件由数字图像处理模块、自动分析模块组成。通过分类器功能模块,进行判别函数的分类决策,并对系统进行仿真实验检测。结果:通过系统仿真实验,对样本细胞进行了检测,检测的识别精度达到93%,识别速度达到97.8个/s。结论:白细胞自动分类系统不仅降低人力消耗,而且提高白细胞检测精度和检测速度,具有一定的临床应用意义。

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.