Contentbased image retrieval needs to determine image similarity.
图象内容的检索需要确定图象之间的相似性。
The phase of image similarity is divided into training phase and detection phase.
在图像似然度检测阶段，分为训练阶段和检测阶段。
Local similarity pattern is proposed as a new method for computing image similarity.
局部相似模板是一种计算图像相似度的新方法。
To give applicable range of image analogies algorithm, based on the fractal dimension vector, a new operator used to measure the image similarity is proposed.
为了给出图像类推算法的适用范围，提出了一种新的基于分形维数向量的图像的相似性度度量算子。
The paper mainly introduces the research of real-time image processing technology: the picture preservation reading and saving, the image preprocessing and the image similarity comparison method.
主要介绍本文作者所侧重研究的图像实时处理技术：图像的保存读取、图像的预处理，图像的相似度比较方法。
This is because of the change in the degree of similarity of the sketch (drawn with a larger brush) to the image.
这是因为草图(用较大的画笔绘制)与此图像的相似性程度有所改变。
Could it be that this image combined with the similarity of the sound of the words influenced their coming together as synonyms?
是否可能，这种想象连同这两个单词读音上的相似，影响到它们一起成为同义词？
Before you can compare an image with another for similarity, you need to go to the add TAB to add images to your collection.
在对这个图像与另一个图像进行相似性的对比之前，需要转到Add选项卡来将这些图像添加到一个集合。
This image of smooth stones USES similarity in shape, size and colors to provide coherence.
图中光滑的石头利用形状、尺寸和颜色的相似取得连贯性。
The sequential similarity detection algorithm (SSDA) is applied to image matching because the calculating work is considerable by using the algorithm of common template matching.
SSDA算法(序贯相似性检测)是针对一般模板匹配算法计算量大而提出的减少计算量的误差累计算法。
The "printer" icon shows the image of a printer, that relates in a direct similarity to the object printer in the real world.
“打印”的ICON给我们展示了一台打印机的“图象”，直接把人的思维联系到真实世界中的这个实际物体。
In the full image search and local search, the similarity matrix is introduced to help matching faces efficiently.
在全图搜索和邻域搜索中，提出了人脸相似度矩阵以进行有效的搜索。
First the algorithm calculates the similarity information and gets the binary image to locate the face region.
该算法首先计算人脸图像的相似度信息，并对得到的相似度图像进行二值化，从而标定人脸区域。
Traditional techniques of CBIR try to retrieve images through analyzing the similarity of image visual features, but CBIR cannot meet the requirements of semantic image retrieval.
传统CBIR技术试图通过分析图像视觉特征的相似性来检索图像，这不能满足普通人按语义检索图像的需求。
Image registration is based on the similarity between the images.
图像配准依据的是图像之间的相似度。
According to similarity estimation of discrepancy image histogram may determine two images' similarity degree, in order to recognize film damage.
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。
A kind of local image self similarity measure is defined.
定义了一种局部图像自相似性测度。
And based on this, this paper discusses on the similarity measuring and corresponding image retrieval techniques, and gives the evaluation on the test results and the image retrieval performance.
在此基础上，讨论了图像的相似度量以及相应的图像检索技术，并给出了实验结果和图像检索性能的评价。
To make blocks match better, the algorithm improves the accuracy of similarity measurement through subdividing image block.
在块匹配时，将图像块进一步细分，改进了相似度测量算法的准确性。
A new approach for image registration is proposed based on alignment metric and fuzzy gradient similarity.
提出一种基于对齐度和模糊梯度相似性的图像配准方法。
The objective digital film image quality assessment based on peak signal to noise ratio, together with structural similarity and human vision system is proposed.
提出了以峰值信噪比为基础，结合结构相似度和基于人眼视觉系统的数字电影图像质量客观评价方法。
In content based image retrieval system, search engine retrieves the images similar standard to the Cey words query image according to a similarity measure.
在基于图像内容的图像检索系统中，搜索引擎检索图像类似于按照相似标准来查询图像。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
The principal research of content based image retrieve (CBIR) includes two aspects: visual feature representation and similarity measurement.
基于内容的图像检索(CBIR)技术的研究主要包括两个方面：可视化特征提取和相似性度量。
It proved that the approach based on spectral polygon can be used to similarity measure and image retrieval effectively because of its synthetic applications to albedo and wavelength information.
实验结果表明，基于光谱多边形的方法能够更有效地综合应用反射率和波长二维信息，有效度量光谱向量相似性。
Establishing affine invariant similarity measure of shapes is one of the basic problems in pattern recognition, computer vision and image understanding domains.
建立仿射不变的形状相似性度量是模式识别、计算机视觉和图象理解领域中的基本问题之一。
Content based image retrieval is to perform the similarity retrieval according to the image features representing the image content, which may be extracted in the generic or specific domain.
基于内容的图像检索是根据描述图像视觉内容的特征向量进行相似性检索，其中图像视觉内容的提取可以是通用的，也可以是基于特定领域的。
Texture is an important item of image information, texture-based image retrieval has been an active research area, and the similarity comparison of texture features is a key to image retrieval.
纹理是图像的重要属性，基于纹理特征检索图像是当前的研究热点，对图像的纹理进行相似性比较是进行图像检索的关键。
There are many similarity measures in image matching field, the matching performance of which can only be evaluated by experiments so far.
图像匹配领域存在多种相似度指标，目前只能通过实验判断某种指标在实际问题中的匹配性能。
There are mainly three key elements in model matching based image tracking method, which are representation of image features, similarity measure and target search method respectively.
基于模板匹配的图像跟踪算法有三个关键环节，分别为图像特征表示、相似度计算和目标搜索算法。
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