Description: 在Freeman链码基础上,提出一种新的形状描述编码:最小和统计方向码. 该方法对图像平移、旋转具有不变性的优点,对尺度变换有成比例特点. 提出了相应的形状匹配算法:方向熵法度量最小和统计方向码描述的形状相似度. 仿真试验验证了这种形状检索方法的有效性与可行性.-In the Freeman chain code based on a new shape description coding: the direction of the smallest and statistical code. The method of image translation, rotation invariance with the advantages of scale transformation on the proportion of the characteristics of success. The shape of the corresponding matching algorithm : the direction of the smallest measure of entropy and statistics to describe the shape of the direction of code similarity. simulation test to verify that the effectiveness of shape retrieval methods and feasibility. Platform: |
Size: 448512 |
Author:焦亚民 |
Hits:
Description: Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2％到10％不等。实验结果表明,该方法改进了导向纹理的描述-Transform Contourlet inseparable combination of the direction of filtering group, have not expressed by wavelet multi-directional properties, can effectively capture the edge of natural image contour information. This paper analyzes the image ontourlet coefficient statistical characteristics, and take advantage of the generalized Gaussian function of the sub-band coefficient modeling layer. Based on this model was applied to the self-VisTex texture image database, using moment matching estimation method, extract the model parameters set, K2L use of distance-based similarity between images. Of 800 texture image retrieval, wavelet method than the traditional method of the average retrieval precision by about 2 to 10 range. Experimental results show that the method improves the texture-oriented description of Platform: |
Size: 198656 |
Author:焦亚民 |
Hits:
Description: 针对目前的基于特征的图像检索中没有有效地结合图像中对象空间信息的问题，提
出了一种新的融合了颜色、空间和纹理特征的图像特征提取及匹配方法。为了减少时间
间复杂度，首先通过基于普通颜色直方图的检索得到初始图像集合，然后根据提出的结合空间、纹理特征加权度量对初始图像集合再进行检索，从而得到最后更符合要求的相似图象-View of the current feature-based image retrieval is not effective integration of image information of objects in space, we propose a new blend of colors, space and texture features of image feature extraction and matching method. Time interval in order to reduce complexity, first of all, the general color histogram-based retrieval has been the initial image set, and then on the basis of the combination of space, texture characteristics of the weighted measure of the initial image and then search the collection, thus more in line with the requirements of the final similarity Image Platform: |
Size: 9111552 |
Author:丁丁 |
Hits:
Description: Wavelet t ransform and projection were referred to after wavelet t ransform projection and se2
quential similarity detection algorithm(SSDA) were applied to the low f requency part of the image to get a
set of potential matching point-Wavelet t ransform and projection were referred to after wavelet t ransform projection and se2quential similarity detection algorithm (SSDA) were applied to the low f requency part of the image to get aset of potential matching point Platform: |
Size: 195584 |
Author:wang |
Hits:
Description: 数字图像匹配matlab源码，就是指图像之间的比较、得到不同图像之间的相似度。基于数字图像，编写对两副数字图像进行匹配的算法及演示程序。-Digital image matching matlab source, refers to a comparison between images, the similarity between different images. Based on digital images, the preparation of two digital image matching algorithms and demonstrate the procedure. Platform: |
Size: 196608 |
Author:宁浩 |
Hits:
Description: 一种基于方向信息的鲁棒型Hausdorff距离匹配方法。该方法采用方向信息提取图
像边缘,通过计算边缘匹配率( edge matching rate, EMR)获得候选匹配区域,然后采用修正后的Hausdorff距离构造
相似性测度。实验结果表明,该方法加快了匹配过程,提高了抗噪性能,并能够准确匹配含有遮挡和伪边缘点的图
像,从而解决了基于传统Hausdorff距离匹配方法因噪声点、伪边缘点和出格点而造成的误匹配问题。-Based on the direction of information Robust Hausdorff distance matching method. Methods The direction of the image edge information extraction, matching the rate by calculating the edge (edge matching rate, EMR) access to the candidate matching area, and then adopt a revised structure Hausdorff distance similarity measure. Experimental results show that the method to accelerate the matching process and enhance the anti-noise performance and the ability to accurately match the containing block and pseudo-edge image, so as to solve the Hausdorff distance based on the traditional matching method because of the noise, the pseudo-edge point and the far point matching problem caused by misuse. Platform: |
Size: 1140736 |
Author:南飞燕 |
Hits:
Description: 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in different frames, and used feature monitoring to deal with object occlusion, object split and implement real-time update for objects features. Objects were matched based on the similarity voting of their features in successive frames. Experimental study had been carried out using image sequences captured in real scene. The experimental results show that the method is robust against noise, shadows, occlusion, and split and it performs multiple objects tracking finely. Platform: |
Size: 1024 |
Author:崔瑞芳 |
Hits:
Description: VC++ 基于序贯相似性算法SSDA的图像匹配识别定位程序、测试图片及源代码-VC++ based on the similarity of sequential image matching recognition algorithm SSDA positioning procedure, test images and source code Platform: |
Size: 3543040 |
Author:华铭 |
Hits:
Description: 小波变换在信号处理、图像处理、模式识别、计算机视觉等
方面广泛应用。本文提出了一种基于Haar小波的时问序列相似
模式匹配模型．它首先对时间序列数据进行Haar小波变换．以
降低数据的维度。首先将所要查询的时间序列进行降维，也就是
对时间序列数据进行小波变换，对序列进行标准化131，得到降维
之后的小波序列．这样可以得到系数子集的良好近似采用尺度
序列表示原始序列．并将其看成多维空间中的一个点，通过计算
两序列差的平方和的平方根作为这两个时间序列的距离函效
(即欧氏距离)。用小波变换保持了局部性质。而欧氏距离就是要
判断相似性的距离函数．所以当在作完变换之后。通过低频分量
来压缩数据，成功的计算出实际距离的下界。如果计算的结果小
于一个由用户所定义的门槛值．则认为这两个时问序列是相似
的。
在-Of wavelet transform in signal processing, image processing, pattern recognition, computer vision, etc.
Aspects of wider application. In this paper, Haar wavelet-based time series similarity
Pattern matching model. It is first time-series data, Haar wavelet transform. To
To reduce the data dimension. Will first want to check the time series dimension reduction, that is,
Pairs of time series data using wavelet transform, standardize the sequence 131, to be reduced-
After the wavelet sequence. This can be a good approximation coefficients of a subset of the use of scale
Sequence indicated that the original sequence. And to treat it as a multi-dimensional space a point, by calculating the
Two sequences and the square root of the square of the difference as the distance between these two time series letter effect
(Ie, Euclidean distance). Maintained with the local nature of the wavelet transform. The Euclidean distance is to
To determine simila Platform: |
Size: 323584 |
Author:lx |
Hits:
Description: 研究生毕业是编写的图像检索的程序，有相似度匹配，特征提取，检索运行效果好-Graduate school is to write the image retrieval process, there is similarity matching, feature extraction, retrieval operation good results Platform: |
Size: 3215360 |
Author:duyaqin |
Hits:
Description: SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图，再到源图像中找到小图所处的位置。-SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position. Platform: |
Size: 1024 |
Author:geof |
Hits:
Description: 影像匹配，针对左片和右片的影像匹配。具体流程：先建立影像金字塔，然后利用Moravec算子在影像上提取特征点，然后用相关系数作为评价准则，根据这些提取的特征点进行影像匹配-image matching, for the left image and right image. detailed process: first create an image pyramid, then extract feature points from the images with Moravec operator, then use the extracted feature points for image matching with correlation coefficient as the similarity criterion Platform: |
Size: 760832 |
Author:M ROCK |
Hits:
Description: 图像匹配是指通过一定的匹配算法在两幅或多幅图像之间识别同名点，如二维图像匹配中通过比较目标区和搜索区中相同大小的窗口的相关系数，取搜索区中相关系数最大所对应的窗口中心点作为同名点。其实质是在基元相似性的条件下，运用匹配准则的最佳搜索问题。-Image matching means through a certain matching algorithm identification between two or more images corresponding points, such as 2D image matching by comparing the target area and the search area in the same size of the window correlation coefficient, the correlation coefficient of the search area maximum corresponding to the same name as the center point of the window. Its essence is the similarity in primitive conditions, the use of the best search problems matching criterion. Platform: |
Size: 407552 |
Author:JJ |
Hits:
Description: 针对
１２８
维
ＳＩＦＴ
特
征向量，采用距离匹配和余弦相似度匹配相结合的测度方法，利用特征点方向一致性进一步降低误匹配率
．
实验结
果表明：改进算法对图像的缩放、旋转、光照、噪声和小尺度的视角变换均有较好的匹配效果
．
与原算法相比，在保
证匹配点数和匹配时间的基础上，改进算法对旋转、缩放、噪声模糊和光照变换的误匹配率平均降低
１０％～２０％
，
对于小尺度的视角变换，误匹配率平均降低
５％．
-For 128-dimensional SIFT feature vectors, using distance matching and cosine similarity measure combining matching method using feature points consistent direction to further reduce false match rate. The experimental results showed that: improved algorithm for image scaling, rotation, light, noise, and small-scale perspective transformation have better matching results. Compared with the original algorithm, while ensuring match points and matching time, based on the improved algorithm for rotation, scaling, noise, blur and light transform the average rate mismatch is reduced by 10 to 20 , for small-scale perspective transformation, mismatch average rate reduction of 5 . Platform: |
Size: 399360 |
Author:焦婷 |
Hits:
Search - image matching similarity