| 1. | The measurement of similarity between two images based on equal - class
基于等价类的图像相似性度量 |
| 2. | We also propose a new shape similarity measure which is suitable for our method
提出了一种适合本文的形状特征的相似性度量方法。 |
| 3. | Results the monomodal or multimodal images are registrated by the similarity measure based on joint possibility
结果利用基于联合概率的相似性度量方法分别实现了同质图像间、异质图像间的配准。 |
| 4. | As for repeated optimization method , the most important things are the chose of right clustering rules and the similarity measurement between clusters
就迭代最优化方法而言，最重要的是选取适当的聚类准则和类间相似性度量。 |
| 5. | Then , the thesis analyzes how to use color as a cue to track . the color histogram and intersecting algorithm is applied
详细分析了如何将颜色作为目标特征跟踪:采用颜色直方图表示目标颜色特征,由直方图相交算法得到颜色相似性度量。 |
| 6. | Key issues in cbir include extracting features from raw images , matching query and stored images in a way that reflects human similarity judgment
本论文主要针对如何描述图象内容，准确、自动地提取特征，以及精确地对图象内容进行相似性度量。 |
| 7. | The euclidean distance is usually chosen as the similarity measure in the conventional k - means clustering algorithm , which usually relates to all attributes
传统的k -均值算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。 |
| 8. | Pattern analysis and machine intelligence , 1992 , 14 : 430 - 449 . 15 mokhtarian f , mackworth a k . a theory of multi - scale , curvature - based shape representation for planar curves
第三，定义了一种多尺度的特征相似性度量，从而把图像灰度分布和几何结构结合在一个完整的框架中。 |
| 9. | The proposed classification method consists of two key processing stages : the improved constrained search on an interpretation tree and the following shape similarity measure computation
所提的物体分类方法主要包括2个核心处理模块，即改进的约束解释树搜索和形状相似性度量计算。 |
