图像分割是图像处理和计算机视觉领域一个重要的研究方向。
Image segmentation is an important area in the general field of image processing and computer vision.
图像分割是图像处理、模式识别、计算机视觉等领域的重要技术。
Image segmentation is an important technology in the image processing, pattern recognition and computer vision area.
图像分割是图像处理中很重要的技术，也是图像分析和图像理解的关键一步。
Image segmentation is a crucial skill of image-processing, it's also a pivotal step of image-analyzing and image-understanding.
图像分割是图像处理和计算机视觉的重要研究领域，也是图像识别和图像分析的基础性工作之一。
Image segmentation is one of the most important research fields of image process and computer vision, and it is also one of basic works in image recognition and image analysis.
图像分割是图像处理与计算机视觉领域低中最基础和重要的领域之一，是图像进行视觉分析和模式识别的基本前提。
As one of the most important and typical problems in image processing and computer vision fields, image segmentation is the basic premise in image vision analysis and pattern recognition.
图像分割是图像处理过程中的一个关键步骤，为图像检索、图像分析提供有效的信息，使更高层次的图像处理成为可能。
As a critical step in the image processing, image segmentation can provide effective information for image retrieval and image analysis, make it possible to a high level of image processing.
图像分割是由图像处理进到图像分析的关键步骤，在图像工程中占据重要的位置。
It is also a key step from image processing to image analysis and holds significant place in image engineering.
算法二是针对两帧差分图像之间所提供的差异信息过多或过少这两种极端情况，用差影法粗分割对人脸图像进行预处理时失效而提出来的。
The second algorithm is proposed because the method of difference image is not effective when the different information coming from two frames of difference image is too much or too little.
图像分割是个经典的图像处理技术问题，一直是令人非常感兴趣的研究领域。
The image segmentation is classical technology of image processing, and has been always an interesting research area.
图像分割是图像分析和模式识别需要解决的首要问题和基本问题，也是图像处理的经典难题。
The image segmentation, which is the first essential and fundamental issue in the image analysis and pattern recognition, is a classical difficult problem in the image processing.
图像分割是颗粒图像处理与分析过程中的关键环节，分割结果的好坏直接影响计数的精度与后续的处理。
Segmentation is a key step during the particle image processing. The segmentation result has direct influence on the counting accuracy and the following processing.
图像分割技术是智能模拟指针式仪表检定系统中的关键技术之一，直接影响到后续的图像处理和图像分析。
The image segmentation technology is one of the key technologies in analog signals meter auto-check-system. This technology directly works on follow image process and image analysis steps.
图像分割是很多高级图像处理技术(如可视化、图像压缩、医学图像诊断等)的重要基础工作。
Image segmentation is a key basis of many higher level image processing activities such as visualization, compression, and image guided medical diagnoses.
图像定位的并行处理，是在图像空域上进行区域无损分割，各个处理机节点分别处理一个子区域。
The parallel processing of location of image implements area lossless segmentationin space domain of image. Each node of the processor deals with a substructure.
图像的边缘检测是图像处理中的基本，并且又十分重要的内容，它是图像分割、模式识别和计算机视觉的基础。
Edge detection is the important content in the image processing, and it is the basis of image segmentation, pattern recognition and computer version.
图像分割是由图像处理过渡到图像分析的关键步骤，在图像工程中占据重要的位置。
Image segmentation is a crucial step transiting from image process to image analysis, and holds important position in image project.
图像分割是遥感和医学图像处理的基础技术之一，但是目前缺乏工程化通用算法。
Image segmentation is one of the basic technologies in remote sensing and medical image processing but it lacks current algorithm for engineering applications.
图像消噪是图像分割和识别的必要预处理。
It is necessary for the image denoising to preprocess for its segmentation and recognition.
图像分割是由图像处理到图像分析的关键步骤，也是一种基本的计算机视觉技术。
Image segmentation is the key step from image processing to image analysis, and also is a basic computer vision technology.
图像分割是图像获取和图像分析之间最关键的图像处理步骤，其目的是从复杂的景象中提取出感兴趣目标区域。
Image segmentation is one of the most critical processing steps between image acquisition and image analysis. It aims to extract the region of interest from complex scenes.
图像分割是图像测量、识别和分析等研究的基础，它将感兴趣区域从图像中分离出来，便于对其作进一步处理。
Image segmentation is a foundation of image measurement, recognition and analysis. It divide image into different parts, find the region of interest and to facilitate further processing.
形态学处理方法是图像处理领域中重要的分支，尤其在图像分割中有着重要的作用。
Morphological image processing technology is an important branch of image processing, especially in the image segmentation field.
图像分割是进行正确分类和识别的基础，是图像处理领域中的关键问题。
The segmentation is the key procedures and the basis of segmentation and recognition in digital image field.
图像分割技术是图像处理到图像分析的关键步骤，应用基本的分割技术很难达到多阈值的自适应精确选取。
Image segmentation technique is the key process from image processing to image analysis. It is difficult to choose multi-threshold precisely and automatic using the basic image segmentation technique.
图像分割是目标检测和识别的重要步骤，是许多高级图像处理技术的基础。
Image segmentation is an important step in target detection and identification is the basic work of many advanced image processing technology.
图像分割是进行图像理解与分析的基础，是图像工程技术中的一个重要问题，也是图像处理的经典难题。
The image segmentation, which is the fundamental issue in the image analysis and the first essential issue of the technology of image, is a classical difficult problem in the image processing.
图像分割是数字图像处理领域中的重要内容，遥感图像分割是图像分割的一个重要应用方向。
Image segmentation is the important content in digital image processing, remote image segmentation is the one of important application aspect of image segmentation.
图像分割是数字图像处理领域中的重要内容，遥感图像分割是图像分割的一个重要应用方向。
Image segmentation is the important content in digital image processing, remote image segmentation is the one of important application aspect of image segmentation.
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