• Image segmentation is applied in a lot of fields such as computer vision, image coding, pattern recognition, medical image and so on.

    图像分割在计算机视觉、图像编码、模式识别、医学图像分析等很多领域有着实际的应用。

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  • The following real-world scenario illustrates those approaches and how to adopt a segmentation-oriented pattern-based architecture as shown in Figure 3 for high-volume SOA systems.

    下面的实际场景中展示了这些方法,以及对于大容量SOA系统如何采用图3所示的基于面向分段模式的体系结构。

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  • The segmentation of identification card image is seriously affected by laser restraining false pattern and color grid.

    身份证图像的分割受激光防伪图案和彩色网格线的影响较大。

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  • 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。

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  • 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。

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  • The edge detection of numeric picture has a very important function in the image segmentation, pattern recognition, and machine vision and so on.

    数字图像的边缘检测在图像分割、模式识别、机器视觉等中有很重要的作用。

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  • It is suggested that statistical pattern recognition and neural net technique should be applied to achieve image segmentation more accurately.

    指出了要更加准确的对细胞图像进行分割,需要采用统计模式法和神经网络法技术等方法。

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  • The detection and segmentation of Object-of-Interest (OOI extraction) are always among the key issue of several fields, such as computer vision, image understanding and pattern recognition etc.

    感兴趣的物体检测和分割(统称为感兴趣物体的提取)一直是计算机视觉、图像理解和模式识别等研究领域的重要关注点之一。

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  • This paper proposes an algorithm of image segmentation based on pattern classification according to the features of soil microphotographs.

    该文针对土壤显微图片特征,基干模式分类对图象实施分割;

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  • Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.

    模糊c -均值聚类是模式识别中的重要算法之一,很早就被应用到图像分割中。

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  • Automatic seal identification belongs to pattern recognition domain and includes seal segmentation, seal registration, feature extraction and feature identification these steps.

    印章自动鉴定属于图像模式识别领域,其主要分为印文分割、印文配准、特征提取及特征识别几个步骤。

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  • 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、模式识别、计算机视觉等领域的重要技术。

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  • Pattern match search oriented to planar graphs is widely used in biological networks, social networks, fingerprint identification and image segmentation.

    平面图的模式匹配查询可广泛应用于生物网络、社会网络、指纹识别和图像分割等。

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  • Image segmentation and object tracking are important research task in the field of computer vision, they are wildly used in areas such as pattern recognition, image editing, intelligent surveillance.

    图像分割和目标跟踪技术是计算机视觉领域的重要的研究方向,在模式识别、图像编辑、智能监控等领域有着广泛的应用。

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  • Image segmentation and pattern recognition technologies for underwater object are two important links in underwater optical vision technology.

    水下目标的图像分割和模式识别技术是水下光视觉技术中的两个重要环节。

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  • A number of supervised and unsupervised pattern recognition techniques have been proposed in recent years for the tissue segmentation and quantitative analysis of magnetic resonance images.

    近年来提出了许多监督和非监督模式识别技术用于磁共振图象的组织分类和定量分析。

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  • Geometric properties, such as perimeter and connected component, have been widely used in image segmentation and pattern recognition.

    图像的几何性质,比如区域周长和连通分量,在图像分割和模式识别领域得到了广泛的应用。

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  • 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。

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  • In the paper, firstly, using the classification theory in pattern recognition, approach of multithreshold stone image segmentation based on improved 2D class variance is presented.

    文章从模式识别的分类理论出发,提出了改进的二维类间方差的多门限阈值石块分割方法。

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  • In the paper, firstly, using the classification theory in pattern recognition, approach of multithreshold stone image segmentation based on improved 2D class variance is presented.

    文章从模式识别的分类理论出发,提出了改进的二维类间方差的多门限阈值石块分割方法。

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