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彩色分割的英文

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"彩色分割"怎么读用"彩色分割"造句

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  • color separation

例句与用法

  • Research on segmentation of the human anatomic sections with hsv color space
    彩色分割法在人体解剖切片中的应用
  • Application of the improved color structure code algorithm in digital human project
    改进的色彩结构码彩色分割算法在数字化虚拟人研究中的应用
  • Those algorithms can be categorized into those based on intensity segmentation and those based on color segmentation
    算法进一步分为基于灰度阈值分割和基于彩色分割的算法。
  • Secondly , this paper mainly studies segmentation technique of plane target , providing different ways to single color and multi - color image
    其次,重点研究了飞机目标的分割技术,提出了不同的方法进行灰度分割和彩色分割
  • In this paper an effective method for extracting contour lines from color scanned topographical maps is proposed . it focuses on reconnecting gaps of contour lines
    本文主要研究从彩色扫描地形图中自动提取等高线的方法,重点解决由彩色分割造成等高线断裂的问题。
  • Based on the statistical analysis of skin - color , the candidate face regions by color segmentation are detected . then shape analysis , facial local feature , head model are applied to verify very candidate region to get real face regions
    在肤色统计分析的基础上,先基于彩色分割检测人脸候选区,后利用形状分析、人脸局部器官特征和人的头部模型先后进行三次证实。
  • In this text , algorithms such as preprocessing of color image , intensity segmentation , color segmentation , circle detection and abstraction of geometric characters are studied and a practical detection system consisting of both hardware and software has been set up
    本文研究了彩色图像的预处理,灰度分割,彩色分割,圆检测,图像几何特征提取等算法内容,同时建立了一个由硬件和软件组成的可以实际运用于工程的检测系统。
  • Secondly , for reconnecting gaps in contour lines , linear features extracted from the gray version of the input color map are utilized to repair the contour lines segments extracted from the input color map . unlike the existing methods , it analyses various reasons inducing gaps in contour lines and introduces corresponding solutions for different cases of gaps
    第二,针对分割结果中等高线断裂的现象,融合线状符号灰度分割的方法来改善彩色分割结果;和现有方法不同的是,本文不仅详细分析了造成等高线断裂的各种原因,而且有针对性地采用相应的方法连接这些断裂。
  • In view of the above mentioned problem , the author adopts information technology such as image processing and pattern recognition to research into the method of automatic analysis and classification . in accordance with the difficulty in medical image analysis ( for example , the background of microimage of section is complicated and is difficult to be segmented . ) , the paper puts forward two kinds of segmentation methods based on standardized colorful space and rgb and hsv colorful model
    本文针对上述问题,用计算机图像处理及模式识别等信息技术对显微细胞图像的自动分析和分类的方法进行了研究,并针对医学图像分析中的难点(例如,显微切片图像背景复杂,分割困难) ,提出了基于归一化彩色空间和rgb , hsv彩色模型的两类分割方法:利用模式识别技术中关于特征向量空间聚类的方法实施真彩色分割
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