定义了一种局部图像自相似性测度。
该理论方法拓宽了信息模式相似性测度的研究领域。
This theory extends the research field of information pattern similarity measurement.
提出一种利用局部互相关系数作为相似性测度的灰度一致性配准算法。
The consistency registration algorithm, which used local cross correlation coefficient as the similarity metric, was proposed.
运用现代数学中的综合分析法，可以得出模糊相似性测度数据关联算法。
We can get fussy similarity data correlation by using general analysis in modern mathematics.
传统的图像配准的相似性测度函数对噪声过于敏感，且需要先验知识约束。
Traditional resemblance measurement function is application-restricted since it is too sensitive to noise and is subject to prior knowledge.
实验表明，在多数情况下，互信息的配准精度是这三种相似性测度中最高的。
The results of experiments show that these similarity measure methods have different effect and performance in the different application circumstances, but the mutual information is more precise.
通过采用KLD作为弧标号相似性测度，生成混淆网络的质量得到了进一步提高。
Further improvement of the quality can be obtained by using KLD as similarity measure of arc's labels.
相似性测度算法是根据航迹模式完成各局部航迹分配的关联方法，关联效果较好。
The similarity measurement algorithm is a data association method for assigning the local tracks based on the pattern similarity, which has a fine association effect.
文本相似性测度被广泛用于计算用户提问与文档资源相关程度以及基于内容相似资源推荐。
Text similarity measurement is widely applied in the computation of relevance between users and textual resources and other activities.
选用基于差异图像直方图的相似性测度来判定两幅图像的相似程度，进而达到识别损伤的目的。
According to similarity estimation of discrepancy image histogram may determine two images' similarity degree, in order to recognize film damage.
在基于体素灰度的医学图像配准领域，本文采用了全新的相关比相似性测度作为配准的测度准则。
A new correlation ratio similarity measure in voxel intensity based medical image registration field was adopted.
特征空间、几何变换、相似性测度以及优化算法是设计医学图象配准方法时要考虑的四个主要因素。
Many investigator explore in the domain. Medical images registration methods have four main factors: features space, geometry transformation, similarity, and optimizing algorithm.
在寻找最优几何变换参数时，采用峰值信噪比(PSNR)作为参考图像和浮动图像的相似性测度。
When searching the optimal geometric transform parameters, peak signal-noise ratio (PSNR) was selected as the similarity measure between the reference and floating images.
方法在极端的刚体配准条件下，检验出互相关系数，互信息和相关比相似性测度为适合的相似性测度。
Method Under extreme rigid registration condition, correlation coefficient, mutual information and correlation ratio similarity measures were tested as most suitable similarity measures.
由于设计的复数小波对平移是不敏感的，我们提出的相似性测度对图像的局部形变具有较好的鲁棒性。
The experimental results show that using the proposed measure can produce better registration results in Digital Subtraction Angiography (DSA) image registration.
借助于颜色游程的概念，提出了一种基于游程矩阵的彩色图像特征描述方法，并在此基础上定义了两种图像相似性测度。
According to the conception of color run-length, a method of feature representation based on run-length matrix for color image was proposed, then two similarity criterions were given.
借助于颜色游程的概念，提出了一种基于游程矩阵的彩色图像特征描述方法，并在此基础上定义了两种图像相似性测度。
This paper introduces the definition of the content-based image retrieval and the visual description tools of MPEG-7, and analyzes the application of the feature descriptor.
实验证明，该方法与基于语言学词典的相似性测度方法相比，更接近用户对文本相似性的判断。表10。图5。参考文献10。
Experiments prove that this method is more close to users judgment on text similarities, compared with the similarity measurement method based on linguistic dictionaries. 10 tabs. 5 figs. 10 refs.
本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
应用推荐