纹理结构的英文

• texture structure

• "纹理"英文翻译    vein; lines; stripes; grain; ...
• "结构"英文翻译    structure; composition; cons ...
• "纹理结构模型" 英文翻译 :    structure model of texture
• "表处理结构" 英文翻译 :    list processing structure
• "病理结构" 英文翻译 :    pathologic structure
• "层理结构" 英文翻译 :    bedding architecture
• "管理结构" 英文翻译 :    management mechanics; management structure; mechanics of management
• "解理结构" 英文翻译 :    cleavage structure
• "统理结构" 英文翻译 :    governance structure
• "物理结构" 英文翻译 :    phyical structure; physical composition; physical construction; physical structure
• "心理结构" 英文翻译 :    mental structure; psychic structure; psychological structure
• "治理结构" 英文翻译 :    corporate governance structure; governance structure
• "调质处理结构" 英文翻译 :    thermal refined structure
• "对象管理结构" 英文翻译 :    object management architecure
• "法人治理结构" 英文翻译 :    corporate governance structure
• "犯罪心理结构" 英文翻译 :    structure of criminal mentality
• "公司治理结构" 英文翻译 :    corporate governance structure; enterprise institutional structure
• "管理结构定义" 英文翻译 :    administrative structure definition
• "集中管理结构" 英文翻译 :    centralized control structure
• "品德心理结构" 英文翻译 :    mental structure of morality
• "软件管理结构" 英文翻译 :    software management structure
• "三级管理结构" 英文翻译 :    three-tier structure
• "社会心理结构" 英文翻译 :    structure of social mind
• "污水处理结构" 英文翻译 :    sewage treatment structure
• "延伸处理结构" 英文翻译 :    architecture extended processing

• 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
• 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。
• 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。
• 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。
• 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。
• It is a new approach to improve the accuracy of image classification in combining spectral feature with texture and structural features of ground objective on satellite image . based on the recognizable characteristics of satellite image , it is introduced how to describe and capture texture and structural features of ground objective by the discrete fractional brownian motion model . furthermore , neural networks are used for classification tool of satellite image . in classification spectral feature , texture and structural features of ground objective are used for the category of an irs - 1c satellite image . the category result shows this approach is better than the maximum likelihood classifier
  根据卫星数字图像特点，引入了分形方法来描述纹理结构特征，利用离散分形布朗运动dfbm统计模型来抽取卫星图像纹理结构特征。在此基础上，采用神经网络方法将纹理结构特征与地物光谱特征相结合，进行卫星图像分类。试验结果表明，该分法分类效果优于单纯采用光谱特征分类的最大似然法。