医学显微图像是进行医疗诊断的重要参考依据。
The medical micrograph is one of the important references for medical diagnosis.
医学显微图像分割是医学图像处理中的一个经典难题。
Microscopic medical image segmentation is a problem in medical image process.
基于对医学显微图像拼接的研究，提出了一种改进的基于模板的图像拼接算法。
Based on the study of medical microscopic images' stitching, we proposed a new template-based image stitching algorithm in this paper.
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。
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.
纹理识别不仅可以应用在遥感图像上，对医学图像、天文图像、显微图像等其它图像都具有应用的价值。
Besides applied in remote sensing image, texture recognition can be made full use of in medical image, chronometer image, micrograph image and so on.
医学上用于观察和分析的显微图像种类很多，包括各种细胞涂片、组织切片等。
There are many kinds of medical micrographs such as cell smear, tissue slice and so on need to be observed and analyzed.
医学图像配准是医学图像处理中的一个重要研究课题，它是图像融合、图像与标准图谱的匹配、显微图像的重建等研究的基础。
Image registration is an important subject in medical image processing. It is fundamental for image matching with atlas, image fusion and micrograph reconstruction.
医学图像配准是医学图像处理中的一个重要研究课题，它是图像融合、图像与标准图谱的匹配、显微图像的重建等研究的基础。
Image registration is an important subject in medical image processing. It is fundamental for image matching with atlas, image fusion and micrograph reconstruction.
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