Gets the text associated with the image in the image cell.
获取与图像单元格中的图像相关联的文本。
LIFE IMITATES ART An image of cell death created by Drew Berry, a biologist whose work has been shown in museums.
生物学家德鲁·贝里绘制的细胞凋亡图像，他的作品曾在博物馆中进行展览。
The virtual image is then positioned "under" the cell such that the cell's upper-left corner is positioned at the correct location in the virtual image.
虚拟图像然后就被定位在一个单元“之下”，这个单元的右上角被定位在虚拟图像中的正确位置。
This is an image of an endothelial cell attached to synthetic microfibers, stained with microtubules, F-actin and nuclei.
这是一张附加在人造纤维上内皮细胞的照片，它用微管的、F -肌动蛋白和核心来染色。
In this case, we will simply determine the coordinates of a cell of pixels closest to the top of the captured image and that changed from the previous frame.
在这个示例中，我们只判断最接近捕捉的图像顶部与前一帧相比有变化的像素的坐标。
You can see an example of the wall display showing a multi-cell image in Figure 2.
在图2中可以看到墙壁显示的一个例子，其中显示有一个多单元图像。
Promising applications include image processors in cell phones or brain implants for the blind.
应用前景包括手机的图像处理器、或为盲人作脑部植入。
After a 50-minute call to a cell phone on a subject's right side (left image), nearby brain regions showed heightened activity (arrow).
在使用手机通话50分钟后(左图)，目标对象右侧靠近大脑区域的活动增强(如箭头所示)。
Staining of a thin sliver of each block can highlight the main bodies of nerve cells (top, purplish image) with the darker areas indicating high cell density near the brain's surface.
对每一块的细微纹路进行着色能突显出神经细胞的主体部分(上面略带紫色的图)。图中的偏暗区域代表了大脑表明的高细胞密度区域。
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 table cell, an image, a list item — anything can be a link.
表的单元格、图片、列表项等等都可以是链接。
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。
The image shown is of a biopsy-proven basal cell carcinoma of the upper lid margin.
如图所示为上眼睑已被活检证实的基底细胞癌。
Methods: Using cell number count and image pattern analysis.
方法：采用细胞计数法和图像分析法观察。
Recognizing cell is a studying focus in the field of image process and pattern recognition, with a very broad application prospect.
细胞识别是图像处理和模式识别领域的一个研究热点，有着十分广泛的应用前景。
A method of automatic cell image segmentation and location is presented.
提出一种细胞图像的自动分割与定位方法。
A hybrid strategy based on watershed transformation is proposed and applied to bone marrow cell image segmentation.
提出了一种混合的分水岭变换策略并应用于骨髓细胞图像分割中。
A hybrid method was proposed for cell image segmentation based on histogram analysis using scale space approach and probability relaxation.
提出基于直方图尺度空间分析和概率迭代松弛的混合方法分割背景复杂的细胞图像。
The edge information of cell image is very useful, which is the basis of cell image segment, it can affect the correctness of cell image recognition and analysis directly.
细胞图像中的边缘信息是极为有用的，它是进一步进行细胞图像分割的基础，直接影响到细胞图像识别与分析的正确性。
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。
This paper presents a new kind of algorithm for cell image segmentation, which is based on region-growing and watersheds.
提出了一种基于区域增长和改进分水岭算法的胃腺癌细胞图像分割方法。
These methods were applicable to flow cytometry, isotope label, monolayer cell ultrastructure, immunocytochemistry, image analysis and in situ hybridization as well.
并可用于流式细胞术、同位素标记、单层细胞超微结构、免疫细胞化学和图像分析、原位杂交等的研究。
Therefore, this paper used improved box-counting approach to compute the fractal dimension of wood texture cell image.
为了提取木材纹理特征，提出采用改进差分盒子法计算木材纹理细胞图像的分形维数值。
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。
This paper describes a cancer cell DNA image analysis system developed using digital image processing technology.
介绍一种采用数字图像处理技术而设计的肿瘤细胞DNA图像分析系统。
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。
The method of enhancing the cell image includes gray-scale transformation, histogram modification, image smoothing and image sharpening etc.
细胞图像增强主要采用灰度变换、直方图修正、图像平滑、图像锐化等方法。
This paper studies the method of using popular PC machine of the domestic product to analyze and process the castoff cell image automatically.
本文研究了在一般PC机上采用国产设备进行脱落细胞图像自动分析及处理。
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。
Part Two: to evaluate the linearity of photometry for measuring cell image of TIGER cell image analysis system.
第二部分：评估TIGER细胞图像分析仪测量细胞图像光度的线性。
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