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   影像匹配 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.042秒
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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 match
After the method, aerial images match known DEM to capture the spatial position and posture.
      
The simulated and experimental images match very well.
      
A cluster in the next level is relevant if one or more of its representative images match some of the query images.
      
Dark Patch A searchlet with high selectivity S7 Uses color histogram trained on black sample patch; has a high threshold so few images match.
      
Dark Patch B searchlet with low selectivity S8 Uses color histogram trained on black sample patch; has a low threshold so many images match.
      
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This paper discusses the methods of automatic extraction of digital elevation model (DEM) from remote sensing image. A system of scheme is established to extract DEM from SPOT image. The scheme improves the multi-level image matching techniques. Several fast algorithms suitable for personal computer are adopted. A software system is developed in PC acording to the scheme. The results of practical tests indicate that the scheme is feasible and has high accuracy and reliability. The software system is practicable...

This paper discusses the methods of automatic extraction of digital elevation model (DEM) from remote sensing image. A system of scheme is established to extract DEM from SPOT image. The scheme improves the multi-level image matching techniques. Several fast algorithms suitable for personal computer are adopted. A software system is developed in PC acording to the scheme. The results of practical tests indicate that the scheme is feasible and has high accuracy and reliability. The software system is practicable and runs fast.

本文研究了利用航天遥感影像自动提取数字高程模型(DEM)的方法技术,建立了一整套利用SPOT影像提取DEM的方案。该方案改进和发展了多级影像匹配策略,采用了多种适合于微机的快速算法。根据该方案开发了相应的微机软件系统。试验结果表明,整套技术方案和算法可行,结果具有较高的精度和可靠性,软件运行速度较快,有较强的实用性。

While there is error of image matching of robotics binocular vision, this paper introduces an algorithm which determines the 3-D coordinate of model points. The two "same-name lights" which are not cross each other have a special public cross line, which has a cross point with either of the two "same-name lights" The two cross points determine a line segment. The center point of the line segment is the location of the model point searched. Also in this paper the effectiveness of pubic cross line algorithm is...

While there is error of image matching of robotics binocular vision, this paper introduces an algorithm which determines the 3-D coordinate of model points. The two "same-name lights" which are not cross each other have a special public cross line, which has a cross point with either of the two "same-name lights" The two cross points determine a line segment. The center point of the line segment is the location of the model point searched. Also in this paper the effectiveness of pubic cross line algorithm is given by an ex-ample. Public cross line algorithm is also available in photogrammetric engineering.

在机器人双目视觉中影像匹配有误差时,提出了用不相交“同名光线”的公垂线与两条同名光线的交点所构线段的中点来恢复模型点空间坐标,并用实例验证了公垂线法恢复模型点的效果及其在摄影测量工程上的适用性。

A real time image matching based on wavelet transform are discussed in this paper. Lipschith regularity exponent is introduced as the constraints during multiresolution feature extraction in order to ensure the reliability. A hierarchical matchimg is realized using orthogonal wavelet decomposition and reconstruction. Sub pixel matching is carried out by superposing edge feature on image. The experimental results demonstrate that above method is significant.

讨论了一种基于小波变换的实时影像匹配方法。在多尺度特征提取的过程中,采用了局域正则性指数作为约束条件,保证了特征提取的可靠性;利用小波正交分解与重建实现了分层匹配;同时,采用特征与影像叠加进行了亚像素匹配。经过试验证明,上述方法是行之有效的。

 
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