图像点的英文

• picture element

• "图像"英文翻译    picture; image; presentation ...
• "点"英文翻译    drop
• "像点" 英文翻译 :    image point; image spot; photopoint
• "像点面积 像素面积 图像单元 元面积" 英文翻译 :    elementaryarea
• "镜像点" 英文翻译 :    mirror point
• "像素,像点" 英文翻译 :    picture point
• "像点弥散,像点模糊" 英文翻译 :    diffusion of point image
• "【无线电】像素，像点。" 英文翻译 :    picture element
• "编码像点" 英文翻译 :    encoded point
• "表面映像点" 英文翻译 :    surface mapoint
• "对应影像点" 英文翻译 :    corresponding image point; corresponding images
• "高斯像点" 英文翻译 :    gauss image point
• "弧矢像点" 英文翻译 :    sagittal image point
• "交替像点" 英文翻译 :    alternate picture dot
• "径上像点" 英文翻译 :    diapoint
• "理想像点" 英文翻译 :    ideal image point
• "切向像点" 英文翻译 :    tangential image point
• "实际像点" 英文翻译 :    actual image point
• "视像点播" 英文翻译 :    vod video on demand
• "同名像点" 英文翻译 :    corresponding image points; homologous image points
• "像点 像素 像质 画素" 英文翻译 :    pictureelement
• "像点辨认" 英文翻译 :    point identification
• "像点尺寸" 英文翻译 :    image spot size
• "像点交错" 英文翻译 :    picture-dot interlacing
• "像点位移" 英文翻译 :    displacement of images

• A matching algorithm of image points based on characteristic - constraint
  基于特征约束的图像点匹配算法
• In this method , the camera calibration grid for estimating the distortion parameters is easy to get and there is no need to fix the camera when taking pictures
  利用交比不变的性质，拟合全视场的无畸变的虚拟网格，得到图像点的偏差，从而计算出畸变系数。
• A bp network learns by example , that is , we provide a learning set a big group of circles that consists of some input examples and the known - correct output for each case
  该方法只需确定网络输入输出和约束条件,无需考虑中间过多的不确定因素,即可建立空间点与图像点的映射关系。
• Secondly , this thesis purposes a new deformation correction method basing on neural net . it can get the mapping between spatial points and points in the image using this method after getting input , output and condition without considering other factors
  最后将图像点的像素坐标输入给训练成功的bp网络,即可得到预期的空间位置,从而建立图像像素点与空间位置的映射关系。
• An image corresponding method based on feature is put forward in the second chapter , because of using edge feature of image , the corresponding speed is improved . edge feature extraction is an important problem in the image correponding . traditional extraction method can not meet the requirement of image corresponding , a template based area weight marking edge detection method ( tbawsedm ) is put forward , on the basis of it , a fast point correspondence strategy is investigated . image corresponding is limited to edge scope , it can make the image correponding fast and improve the veracity
  图像拼接的主要问题是确定相邻图像间的对应点,即图像匹配,我们在第二章中提出了一种基于特征的图像对应方法,由于充分利用了图像的边缘特征,大大提高了图像的对应的速度;图像对应中的边缘特征的提取是一个重要的问题,传统的边缘提取方法不能满足图像对应的需要,我们提出了一种基于模板的区域权值标记边缘检测方法( templatebasedareaweightsigningedgedetectionmethod简称tbawsedm ) ,在此基础之上研究了一种基于特征的快速点对应策略,将对应点的确定范围限定在边缘的范围内进行,加快了图像对应的速度,提高了图像点对应的准确性。