Description: 对模式识别中的字符串模板匹配问题进行的研究，设计了对任意字符串进行匹配和字符串相似度，即列文斯顿距离进行计算的算法-right pattern recognition template matching string for the research and design of the arbitrary strings and string matching similarity, Ken Livingstone distance calculation algorithm Platform: |
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Author:蓝色梦幻 |
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Description: 对模式识别中的字符串模板匹配问题进行的研究，设计了对任意字符串进行匹配和字符串相似度，即列文斯顿距离进行计算的算法-right pattern recognition template matching string for the research and design of the arbitrary strings and string matching similarity, Ken Livingstone distance calculation algorithm Platform: |
Size: 2048 |
Author:蓝色梦幻 |
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Description: 著名的基于hausdorff距离模糊匹配的图像处理方法。-Hausdorff distance from the famous fuzzy matching based on image processing methods. Platform: |
Size: 1024 |
Author:崔顾 |
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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: |
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Author:焦亚民 |
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Description: 基于OPENCV库 实现两幅图像中目标轮廓匹配，利用对应关键点附近轮廓段的曲率hausdorff距离匹配-OPENCV library based on the realization of two images of the target contour matching, using the corresponding key points near the contour segment curvature hausdorff distance matching Platform: |
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Author:张岱 |
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Description: 说明:
该函数将对图象进行（基于Hausdorff距离匹配）操作。需要注意的是，此程序只处理256灰度级的图象。-Description: This function will be images (based on Hausdorff distance matching) operation. Note that this procedure only deal with 256 gray-scale image. Platform: |
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Author:沈巍 |
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Description: 提出了一种新的基于小波过零检测的虹膜
识别算法,通过对分离的虹膜纹理采用小波变换来实现特征提取,最后通过Hamming距离完成模式匹配．-A new wavelet-based zero-crossing detection of the iris recognition algorithm, through the separation of the iris texture by wavelet transform to realize feature extraction, and finally through the Hamming distance from the completion of pattern matching. Platform: |
Size: 133120 |
Author:闫慧 |
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Description: 实现编辑距离的计算，即字符串的匹配，支持汉字。-Realize the calculation of edit distance, that is, string matching, support for Chinese characters. Platform: |
Size: 2048 |
Author:Majesty Liu |
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Description: 提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点，利用归一化梯度模板对
其进行预 匹配．然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ，获取模板 图像的
结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature points as corner points, using the normalized gradient of their pre-match template. The shape of the template and then use the template in the four directions within the image edge point and the shortest distance between the template border statistics, access to the template image of the structure of eigenvectors of the feature points in order to achieve the exact match. Experimental results show that the algorithm has good practical value. Platform: |
Size: 171008 |
Author:memcpy |
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Description: 字符串匹配问题中求最小编辑距离的源码，精简实用，是作业的好帮手！-String matching problem in order to minimize the distance of the source editor to streamline the utility is operating a good helper! Platform: |
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Author:wangfang |
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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: |
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Author:南飞燕 |
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Description: 思路简要说明：
1、图像二值化
将图片中的各点用0或1表示，1为有效点，0为背景。这里使用的是最大类间方差法
（otsu），在资料中有介绍。
2、去除干扰点
3、分割
将整个的图片分为每个单独的字，在下一步中才能一一识别。
4、与样本库进行对比，寻求最近似匹配
这步是比较核心的地方，由于要识别的图形每次都是随机变化的，我们不能进行完
全匹配识别，所以使用的是‘欧氏距离’来进行最近似匹配，资料中的《自由手写体
数字识别》里面有详细说明。
（样本库文件是按照匹配的特征通过事先编写的程序进行学习得到的）
该识别思路对目前很多验证码有效，识别速度快，正确率基本还可以（在一定程度内
样本量越大正确率越高），不能识别的情况也不少，比如字符粘连，导致程序无法正确
分割，从而识别失败，有朋友介绍神经网络识别方法不错，有空一定要学习下。-A brief description of ideas:
1, image binarization
Pictures of all the points expressed by 0 or 1, 1 for the effective point, 0 for background. Used here is the largest between-class variance
(Otsu), are introduced in the data.
2, removal of interference points
3, partition
The whole picture is divided into each individual character, in the next step in order to identify 11.
4, compared with the sample database, the search might match the recent
This step is to compare the core places, due to the recognition of each of the graphics changes are random, we can not be finished
Identification of the entire match, so the use of the Euclidean distance to be like the recent match, the information in the "free handwritten
Digital Identification, "which is described in detail.
(Sample library features in accordance with the matching pre-prepared through the process of learning to be)
The identification of a lot of ide Platform: |
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Author:yangq |
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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: |
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Author:lx |
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Description: 用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation. Platform: |
Size: 35840 |
Author:sfm |
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Description: 车辆导航离不开导航电子地图，地图匹配方法是连接卫星定位信息与导航电子地图的桥梁，即通过一定
的算法，根据定位信息，在导航电子地图上确定出车辆当前所行驶的道路，并在地图上实时准确地显示车辆
的位置［1］． 一套匹配准确率高、实时性好、易于工程实现的地图匹配算法是优秀车载导航产品的重要保
障［2 － 3］． 目前，大多数导航产品仅采用独立的GPS 定位方式，地图匹配方法也大部分采用基于点的投影算法，
算法简单，没有将道路的网络特征考虑进来，特别在面对复杂道路时，容易出现匹配错误，造成车标漂移的现
象． 本文针对地图匹配面对在复杂交叉路口存在的难点，提出综合考虑距离、航向、车速、道路拓扑关系、历史
轨迹等多类因素，同时根据车辆行驶过程和道路网络特征，将匹配过程分为3 个状态，即初始匹配、交叉路口
匹配和后续点匹配，对交叉路口的匹配过程进行详细分析，通过跑车实验测试和验证了新模型的性能．-The paper designs an improved map matching model just for complex road junctions，which
considers many kinds of factors such as distance，course，speed，roadway topology and geometry characteristic，
history track，etc． Then it also designs different weight definition and calculating methods for corresponding
standard． Finally，the model is tested and validated by many actual driving tests Platform: |
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Author:罗杰涛 |
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Description: 利用①相关匹配（Correlation Matching）、②基于Hausdorff距离匹配方法 及③考虑对场景图象距离变换（Distance Transform）的Hausdorff距离匹配方法,实现模板目标在场景图象中的定位-Use ① correlation matching (Correlation Matching), ② matching method based on Hausdorff distance and image of the scene ③ consider the distance transform (Distance Transform) the Hausdorff distance matching methods to achieve the target template in the scene image positioning Platform: |
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Author:designflying |
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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 |
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Description: 利用hausdorff距离判断匹配，实现人脸检测的matlab程序，实现速度还不错-Using Hausdorff to judge the distance matching,Implementation of face detection matlab program，Speed is also good》 Platform: |
Size: 6144 |
Author:xiaohanhan |
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Search - distance matching