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纹理结构 meaning in Chinese

texture structure

Examples

  1. Satellite image classification ; fractal ; neural networks ; texture and structural characteristics
    卫星数字图像分形神经网络纹理结构特征
  2. This technical route was based on integrated ccd camera calibration and image registration by orthograph . ccd camera calibration was accomplished by vertical photograph on the wall of buildings
    通过对现有ccd相机标定方法的综合分析,提出利用建筑物立面现成规则图形纹理结构的垂直摄影法来完成ccd相机综合误差的标定。
  3. This method could be used for reference by other fp technology , and also by other biometric , image and pattern recognition and classification , etc . the main conclusion , the shortage and the prospect of the research of this thesis are given finally . structure - based fp recognition method not only makes best use of texture structure information contained in the gray level fp image but also reflect the local information
    基于结构的指纹识别算法充分利用了蕴含在指纹灰度图像中的丰富的纹理结构信息,又能反映局部信息(细节点) ,因而弥补了传统方法在小面积指纹的识别上的不足;基于anfis的匹配算法和指纹的补偿识别算法,对于指纹图像中的噪声和变形有着很好的鲁棒性,达到了令人满意的识别准确率。
  4. In this paper , the key technology - fp recognition algorithm is launched based on the analysis of current situation of automatic fingerprint identification system ( apis ) . the structure - based fp representation and its matching algorithm are proposed to address the shortcoming of traditional minutiae - based method , which makes use of limited information in fp images
    针对传统基于细节点的指纹识别方法只利用了指纹图像中的有限信息(细节点)的不足,本文提出了基于指纹脊线纹理结构的特征表达及其匹配算法,冲破了传统方法的局限。
  5. At first , the paper confirms singular area by singular detection , then designs a series of low - pass filters that have different templates according to the different position in finger image for a local area , at last sets up gabor filter parameters according to the characteristics of fingerprint image . the improved enhancement algorithm has a better robust , and can preserve texture structure of singular area effectively . in binary noise clearance , the paper presents an algorithm that clears the biggish white speckles and black speckles
    在指纹图像增强方面,本文针对传统的基于gabor滤波器指纹图像增强算法鲁棒性差以及通常会改变奇异区纹理结构的缺点,对原有算法进行了一些改进:首先通过检测奇异点确定奇异区,然后根据局部区域在指纹图像中的位置构建相应取值方式的低通滤波器并对该局部区域方向图进行滤波,最后根据指纹图像纹线的特点对gabor滤波器参数进行设置。
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Related Words

  1. 纹理方向
  2. 翻转纹理
  3. 人工纹理
  4. 纹理元素
  5. 直纹理
  6. 纹理乌木
  7. 侧面纹理
  8. 交叉纹理
  9. 纹理斜率
  10. 交错纹理
  11. 纹理角度
  12. 纹理截断
  13. 纹理结构模型
  14. 纹理类型
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