This paper discusses how to develop automatic classification system for blood cell image.
讨论建立了一真彩色血液细胞显微图像微机自动识别系统。
Using mathematics morphology on the abstraction of chromatic light density and veins characteristic of the blood cell image.
对血细胞图像进行数学形态学，彩色光密度和纹理特征的提取。
It is an important topic in the field of medicine image to make research on Blood Cell image recognition with Computer Pattern recognition technique.
运用计算机模式识别技术自动识别血细胞图像是模式识别在医学图像领域应用的一个重要研究课题。
Since medical microscopic image processing rising in 70's of last century, the automatic processing and recognition of the blood cell image had been popular topic of this research area.
自上世纪70年代医学显微图像处理兴起后，血液细胞图像计算机自动处理和识别一直是这一领域研究的热门课题。
This image shows two red blood cells: a normal red blood cell (colored red in the background) and a red blood cell affected by sickle-cell anemia (in the foreground).
这幅图片显示了两种红血细胞：正常红血细胞(红色背景)和患有镰形细胞贫血症的红血细胞(前景)。
A simulated image of a human red blood cell infected with malaria.
一只感染了疟疾的人红细胞模拟图。
Computer and CCD camera were applied to take the picture of blood cells from blood smear and the cell image was treated using the algorithm of cell labeling recursion.
应用计算机和CCD相机采集血涂片细胞图像，细胞标记递归算法进行细胞图像处理并计数白细胞。
A colored transmission electron micrograph image captures the HIV virus budding from the surface of a T-lymphocyte white blood cell.
艾滋病图片。一幅染色的传输电子显微图像捕捉艾滋病病毒的萌芽从表面的一个白血细胞中的T淋巴细胞。
The purpose of this paper is to develop a new dynamic image analyzing technique with the ability of real time measurement on red blood cell membrane minute fluctuation based on super resolution.
探索以超分辨率理论，对单个活态红细胞的微小膜波动进行测量。通过建立模型，实现对细胞多个力学特性参量非侵入性连续动态测定。
The purpose of this paper is to develop a new dynamic image analyzing technique with the ability of real time measurement on red blood cell membrane minute fluctuation based on super resolution.
探索以超分辨率理论，对单个活态红细胞的微小膜波动进行测量。通过建立模型，实现对细胞多个力学特性参量非侵入性连续动态测定。
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