基于形态学的显微细胞图像处理与应用  

Microscopic Cell Image Processing and Application Based on Morphology

作　　者：杨小青[1] 杨秋翔[1] 杨剑[1] 

机构地区：[1]中北大学计算机与控制工程学院,太原030051

出　　处：《计算机系统应用》2016年第3期220-224,共5页Computer Systems & Applications

基　　金：国家自然科学基金(61379080)

摘　　要：为提高医学诊断的准确率和效率,提出了基于形态学的显微细胞图像分析理论来完成对图像的分类、识别与分析.首先,对图像边缘检测算法及流域分割算法进行介绍,设计了完整的基于形态学的显微细胞图像处理方法,有效解决了图像处理中遇到的光照不均匀、染色产生的斑点等问题.然后,在图像分析阶段,把显微细胞图像形态学分析应用到血液病诊断中,同时做了细胞计数及形态参数提取并给出验证结果,最后再对细胞病医学诊断做了初步的理论尝试,研究结果与实际值相比误差小于3%.实验表明本文提出的图像分析理论在细胞病医学诊断上具有一定的应用价值.To improve the accuracy and efficiency of medical diagnosis, an image analysis theory based on morphology of microscopic cells is proposed to complete image classification, identification and analysis. Firstly, the image edge detection algorithm and watershed segmentation algorithm are introduced in this paper. An integral image processing method of microscopic cell based on morphology is designed, which is an effective solution to the problem of uneven illumination and stained spots and other issues arising in the image processing. Then, in the image analysis stage, the morphology image analysis of microscopic cell is applied to diagnosis the hematological disease, simultaneously, the number of cells is calculated, morphological parameters are extracted and verification results are presented. Finally, a preliminary theoretical attempt about the medical diagnostic cell disease is made, and compared with actual value, the research results error is less than 3%. Experiments show that the proposed image analysis theory has a certain value in medical diagnosis on cell disease.

关 键 词：显微细胞图像 形态学 图像处理 边缘检测 流域分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]