基于颜色校准和HSI颜色空间的白细胞图像分割方法  

Image Segmentation of Leukocytes Based on Color Calibration and HSI Color Space

作　　者：欧阳楠 曹益平(指导)[1] OUYANG Nan;CAO Yi-ping(College of Electronic Information,Sichuan University,Chengdu 610064,China)

机构地区：[1]四川大学电子信息学院,四川成都610064

出　　处：《光学与光电技术》2022年第3期62-69,共8页Optics & Optoelectronic Technology

基　　金：国家科技重大专项(2009ZX02204-008)资助

摘　　要：人体内不同白细胞的数值水平是疾病判断的重要依据之一。在白细胞计数中,准确分割白细胞是后续分类计数的重要前提步骤,决定了后续分类计数的准确与否。对于使用各种不同染色方法所得的血液涂片图像,都可以通过颜色校准,分别调整RGB图像的R、G、B分量,改变图像的色彩信息,接着通过图像HSI颜色空间中的H分量,结合Otsu自动阈值法和面积阈值法对图像进行分割、处理,最终准确定位、分割提取出整个白细胞,用于后续的分类计数。实验结果表明,该方法分割准确度高、实用性强、操作简单并且效率高。The number of different human leukocytes is one of the important basis of disease diagnosis.Accurate segmentation of leukocytes is an important prerequisite step before classification and counting of leukocytes,and it determines the accuracy of counting.For different blood smear images obtained using various staining methods,according to color calibration,adjusting R,G and B components of the RGB images will change the color information of the images.Then based on H component in HSI color space and combined with Otsu automatic threshold method and area threshold method,a complete and single leukocyte images will be located and segmented,which will be used in subsequent classification and counting.The experimental results show that this method has high segmentation accuracy,strong practicability,simple operation and high efficiency.

关 键 词：白细胞分割 HSI颜色空间 颜色校准 OTSU法 面积阈值法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] R318[自动化与计算机技术—计算机科学与技术]