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影像匹配
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  image matching
Texture is an important attribute for medical image matching and retrieval.
      
The SCSF is effective and efficient for image matching because it is independent of image distortion such as rotation and flip as well as it increases the matching accuracy.
      
Our experiments show that the image matching is quickly and efficiently with the use of SCSF.
      
Then image matching, based on the maximum correlation coefficient, is performed between registered images after the low contrast areas have been removed.
      
In this paper, an automatic approach with multi-step image matching algorithm is presented.
      
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  image match
After correction, the profiles of the corrected image match closely those of image 2.
      
Being from the past, they use only geometric image match and geometric shape metrics, and the geometric metrics use only position and width values.
      
During segmentation coarse-scale deformations of the geometry could be done first, using coarse-level profiles for the image match.
      
First RANSAC is performed to compute the homography, then a probabilistic model is invoked to verify the image match based on the number of inliers.
      
Future work will add a more principled probabilistic model for image match verification.
      
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  images matching
It displays images matching the feature set thereby giving a diagnosis prediction.
      
These degrees of freedom correspond to parameters that need to be estimated non-linearly with the help of 3D-images matching.
      
The retrieval of stored images matching an input configuration is an important form of content-based retrieval.
      
We then select and sort the images with the smallest distances and present them as the images matching the query.
      


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本文介绍用动态规划技术进行数字影像匹配的方法。这种方法由两个阶段组成,首先由目标区和搜索区中像元的灰度值构成像元对灰度差分布图,然后根据动态规划的最优化原理,在分布图中寻找累积灰度差函数值最小的路线,这条路线就是影像匹配路线。在搜索影像匹配路线时,配合像元对灰度差阈值的使用,可以放宽对影像匹配初始值的要求。经用模拟影像对进行动态规划影像匹配的试验,并与相关系数法做比较,结果表明:影像匹配的动态规划法是很好的方法,具有较好的可靠性和Robust性质,且计算速度快。这种方法能在影像匹配中间检测出影像遮蔽区〔7〕,这种特性是其它方法所不及的。

A algorithm for digital stereo matching images based on feature points has been discripted. This m othod firstly extracts the feature points using Frstner operator, and then matchs same feature point in two image with a method named relaxative iterative method. This method has shown a good furture for automatic relative orientation and generation of Digital Terrain Models.

本文介绍了一种基于特征点的数字立体影像匹配方法。该法采用Frstner算子提取特征点,然后应用一种松驰迭代算法,实现了同名特征点之间的立体匹配。为实现立体像对的自动相对定向和数字地形模型自动生成提供了一种切实可行的方法。

Image matching is the key stage for Digital Terrain Model(DTM) automatical aquisition using with digital images. The methods for image matching can be classified two parts, that is, matching based on features and that based on area image. The first uses one and more kinds of abstract feature (point or line segment). The second directly compares pixels. To simultaneously reach targeted hight levels of accaracy density reliability and speed, it can not be applied successfully and effectively in DTM aquisition...

Image matching is the key stage for Digital Terrain Model(DTM) automatical aquisition using with digital images. The methods for image matching can be classified two parts, that is, matching based on features and that based on area image. The first uses one and more kinds of abstract feature (point or line segment). The second directly compares pixels. To simultaneously reach targeted hight levels of accaracy density reliability and speed, it can not be applied successfully and effectively in DTM aquisition of only using one of matching methods, Thispaper analysiss some classical matching methods and sugests the radiative propagation method based on feature points. This method satisfies targeted hight levels of accaracy density reliability and speed more reasonablely. Matching speed reaches 1 to 3 point/per second. Accaracy is sub pixel in AST 386 microcomputer without any acclerative proccessor.

利用数字影像自动提取数字地形模型(DTM)的关键是影像匹配。匹配算法有基于特征的相关匹配和基于影像区域匹配两类,前者利用某种抽象的“特征”(一般为线段或点),而后者直接比较像素。但要同时满足DTM的精度,密度、可靠性和速度等要求,单纯引用某种特定的相关方法是不能有效地解决生产实际问题的。本文在分析现有几种典型方法的基础上,提出了基于特征点的辐射法,从而较为合理地兼顾了精度、密度、可靠性以及速度等指标。在AST 386微机上,无任何加速处理器,运行速度达到每秒1~3点,精度为子像素精度。

 
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