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region labeling     
相关语句
  区域标记
     The test software system designed by Visual C++6.0 provided a user-friendly enviroment for image capturing, processing and analyzing such as image enhancement, image segmentation, edge detection, region labeling etc.
     设计了Visual C++6.0平台下界面友好的图像采集与处理分析实验软件,用消息映射的形式对应了图像采集及图像处理的各种算法包括灰度化、图像增强、图像平滑、图像分割、区域标记、特征值提取等。
短句来源
     Aimed at target location, a metal target location algorithm based on region labeling for millimeter-wave radiometric image is proposed, which analyzes millimeter-wave radiometric characteristics of metal and the attribute of millimeter-wave radiometric image.
     针对毫米波辐射图像中目标定位的问题,提出了一种基于区域标记的毫米波辐射图像金属目标定位算法。
短句来源
     The algorithm includes combination of the ExG (Extra Green) and brightness, automatically thresholding, and fast region labeling and so on.
     通过对萝卜幼苗彩色图像的分析 ,提出了由突出绿色方法和亮度组合的灰度化方法、最大方差自动取阈法及快速区域标记等构成的自动识别算法。
短句来源
     Common region labeling algorithms often cannot meet the demands of processing image at real-time because of the limit of processing time and memory space.
     由于处理时间及存储空间的限制,常规的区域标记算法往往无法满足实时图像处理的需要。
短句来源
     Firstly, in aspect of spatial segmentation, an improved watershed strategy is presented in image pre-processing and region labeling to restrain over-segmentation in conventional watershed caused by noise and close textures , the main improvements are as follows: ① double opening and closing reconstruction is proposed to obtain morphological gradient, with the first one for restraining whole image noise and the second one for reducing light and dark details caused by textures.
     首先,在空域分割方面,针对传统分水岭变换对噪声和细密纹理敏感而易于产生过分割现象的问题,从图像预处理以及区域标记的角度改进了分水岭变换方案:①以开闭双重建的方法获取原始图像的形态梯度,采用一次开闭重建从整体上抑制图像噪声,之后采用二次开闭重建消除部分纹理产生的明暗细节;
短句来源
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  区域标号
     (3) Region labeling is presented and can differentiate multiple target regions.
     (3)采用区域标号算法对玻壳图象中的多目标区域进行划分,实现多个目标区域的识别。
短句来源
     Then the method of contour integration region labeling and the design of intensity homogeneity segmentation criterion are presented.
     介绍了围线积分法区域标号和灰度均匀度分割准则的设计 .
短句来源
     In the method, the 2D object slices in each plane of a 3D image are first constructed by region labeling using edge following and horizontal scanning. Then the volumes of the 3D objects in the 3D image are constructed by slice merging using pseudo OR operation and link table.
     在这种方法中 ,首先采用边沿跟踪和水平扫描的区域标号法重建三维图像的每个平面中的二维物体切片 ,然后采用伪OR运算和链接表的叠片法重建三维图像中的三维物体实体 .
短句来源
     In order to avoid the error decision in the presence of noise, the median filtering and connected region labeling is operated to eliminate the random noise and false stationary regions.
     为减少噪声引起的误判,使用了中值滤波、连通区域标号等操作来消除随机噪声以及虚假的静止区域。
短句来源
  区域标定
     Region counting algorithm based on region labeling automaton
     基于区域标定自动机的区域个数统计算法
短句来源
  区域标识
     Region Labeling Method Based on Double-Pulse Coupled Neural Networks and Morphology
     基于神经网络与形态学的一种区域标识方法
短句来源
     This paper brings forward a new approach for region labeling by using double Pulse Coupled Neural Networks(PCNN)and morphology.
     提出了一种双层脉冲耦合神经网络与数学形态学相结合的区域标识算法。
短句来源

 

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      region labeling
    When performing the initial region labeling, statistics about a particular region can be cataloged without significant overhead.
          
    The time for the bitmap index search and the region labeling depends on the distribution of the attribute.
          
    The region labeling procedure divides the image into regions of interest as it can be seen in the example images shown in Figures 9 and 10.
          
    There is an ambiguity in region labeling of that point in the next frame.
          
    This is desirable to increase the success of the merger of the two filtering paths in the region labeling routine.
          
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    This paper presents a 3D medical image segmentation and isosurface re-construction method based on gray level and shape information. The 3D image is first thresholded and 3D morphological erosing is used to delete the weak connec-tion between TOI (Tissue of Interest) and other tissues. This step is followed by 3D connected region labeling which results in a rough 3D mask of TOI. Then the rough mask is morphologically dilated and used as a final 3D mask to determine the TOI from the thresholding result...

    This paper presents a 3D medical image segmentation and isosurface re-construction method based on gray level and shape information. The 3D image is first thresholded and 3D morphological erosing is used to delete the weak connec-tion between TOI (Tissue of Interest) and other tissues. This step is followed by 3D connected region labeling which results in a rough 3D mask of TOI. Then the rough mask is morphologically dilated and used as a final 3D mask to determine the TOI from the thresholding result of 3D gray level image. The isosurface is recon-structed in the fuzzy boundary based on the 3D binary mask. Experiments show the validity and robustness of the algorithm.

    本文提出一种利用三维图像的灰度和形状信息进行三维图像分割以及在此基础上构造等值面的方法.首先对三维图像进行阈值分割,获得三维二值图像.在预处理阶段,利用三维形态腐蚀消除感兴趣组织与其它组织的弱联系.然后对三维二值图像进行三维连通标记,得到腐蚀后的组织.对其三维形态扩张,获得感兴趣组织的三维模板.将模板与阈值分割图像求交,从而分割出三维组织.根据分割后的三维二值模板,构造出有一定厚度的模糊边界,然后在模糊边界内构造等值面.实验证明了本文方法在计算量适中情况下的有效性和鲁棒性,

    A method of region labeling for two-value digital image is developed in the paper. The minimum sets of complete graphs are obtained respectively for 8-site neighborhood and 4-site neighborhood digital images. Based on basic graphs of image labeling, an automaton, with the vertex chain code as its outputs, for the boundary recognition of the two-value digital images is constructed. The automaton for region labeling is an efficient method to label regions in two-value digital images.

    给出了二值图像区域的标定方法. 对于八近邻和四近邻的图像,分别建立了一组最小的完备图. 利用图像标定的基本图,为二值图像边界的识别构造了一个自动机,自动机的输出就是顶点链编码,为二值图像区域的标定提供了一个有效算法.

    A recursively increasing threshold method for the segmentation of laser scanning confocal microscopic (LSCM) biomedical images is presented. In this method, an image is first segmented into sub regions in a lowest threshold. Then the intensity homogeneity of each sub region is examined. If the intensity homogeneity is not satisfied with a segmentation criterion, it is re segmented by increasing threshold. This process is iterated till no region needs resegmented. The advantage of this method is that the objects...

    A recursively increasing threshold method for the segmentation of laser scanning confocal microscopic (LSCM) biomedical images is presented. In this method, an image is first segmented into sub regions in a lowest threshold. Then the intensity homogeneity of each sub region is examined. If the intensity homogeneity is not satisfied with a segmentation criterion, it is re segmented by increasing threshold. This process is iterated till no region needs resegmented. The advantage of this method is that the objects with wide intensity ranges and different intensity homogeneity can be segmented properly. The recursively increasing threshold method is first proposed. Then the method of contour integration region labeling and the design of intensity homogeneity segmentation criterion are presented. Two examples of image segmentation by this method are given at the end.

    提出了用于激光共焦显微生物医学图象分割的循环递增阈值分割法 .先用最低分割阈值把图象分割成子区域 ,然后测量每个子区域的灰度均匀度 .如果灰度均匀度不满足灰度均匀度分割准则 ,则增加分割阈值 ,对该区域进行再分割 .循环这个过程 ,直到没有区域需要分割为止 .介绍了围线积分法区域标号和灰度均匀度分割准则的设计 .给出了用该法分割图象的两个实例 .

     
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