Description: This function computes Euclidean distance transform for 3D binary image with non-trivial aspect ratio (i.e. anisotropic pixels). The algorithm uses fast optimized line-scans and is actually faster than MATLAB s BWDIST implementation of search on optimized kd-tree for many cases. It also uses cell-array representation for internal data, and thus is less demanding to physical memory. Platform: |
Size: 49152 |
Author:fangfei |
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Description: 自己编的一些关于图像灰度直方图处理的MATLAB源程序，包括加权距离，累加直方图，欧氏距离，直方图相交法，中心距法共5种方法，可选择适合的选用。-Own some on the image histogram processing MATLAB source code, including the weighted distance, cumulative histogram, Euclidean distance, histogram intersection of law, from the Law Center, five kinds of methods to choose the appropriate selection. Platform: |
Size: 2048 |
Author:louwutao |
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Description: A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of Region of Interest (ROI) areas based on the reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments. Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test fingerprint image and template fingerprint image in the database. -A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of Region of Interest (ROI) areas based on the reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments. Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test fingerprint image and template fingerprint image in the database. Platform: |
Size: 421888 |
Author:ruan |
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Description: 此代码实现了一个对汉字识别的一个预处理过程，把汉字的笔画按照书写顺序编程数字序列，易变后续处理-This code has a Chinese character recognition as a pretreatment process, the number of strokes of Chinese characters in accordance with the written order of the digital programming sequence, the follow-up to deal with volatile Platform: |
Size: 109568 |
Author:armzm |
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Description: 用的是局部颜色特征，再说细点是用里面的区域颜色直方图的方法。把图像归一化到256X256，把图像分成4X4块，计算16个区域的颜色直方图、、、
最后计算相似度是用欧氏距离.-Using local color feature, repeat fine-point is inside the regional color histogram method. The normalized image to 256X256, the image is divided into 4X4 blocks, the calculation of the 16 regional color histogram, calculated similarity is Euclidean distance. Platform: |
Size: 12361728 |
Author:周文 |
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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: |
Size: 874496 |
Author:yangq |
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Description: A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of Region of Interest (ROI) areas based on the reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments. Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test fingerprint image and template fingerprint image in the database Platform: |
Size: 276480 |
Author:joyce |
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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: 基于支持向量机的人脸检测训练集增强算法实现。根据支持向量机(support vector machine，简称SVM)~ ，对基于边界的分类算"~(geometric approach)~
言，类别边界附近的样本通常比其他样本包含有更多的分类信息．基于这一基本思路，以人脸检测问题为例．探讨了
对给定训练样本集进行边界增强的问题，并为此而提出了一种基于支持向量机和改进的非线性精简集算法
IRS(improved reduced set)的训练集边界样本增强算法，用以扩大-91l练集并改善其样本分布．其中，所谓IRS算法是指
在精简集(reduced se0算法的核函数中嵌入一种新的距离度量一一图像欧式距离一一来改善其迭代近似性能，IRS
可以有效地生成新的、位于类别边界附近的虚拟样本以增强给定训练集．为了验证算法的有效性，采用增强的样本
集训练基于AdaBoost的人脸检测器，并在MIT+CMU正面人脸测试库上进行了测试．实验结果表明通过这种方法
能够有效地提高最终分类器的人脸检测性能．-According to support vector machines(SVMs)，for those geometric approach based classification
methods，examples close to the class boundary usually are more informative than others．Taking face detection as an
example，this paper addresses the problem of enhancing given training set and presents a nonlinear method to tackle
the problem effectively．Based on SVM and improved reduced set algorithm (IRS)，the method generates new
examples lying close to the face／non—face class boundary to enlarge the original dataset and hence improve its
sample distribution．The new IRS algorithm has greatly improved the approximation performance of the original
reduced set(RS)method by embedding a new distance metric called image Euclidean distance(IMED)into the
keme1 function．To verify the generalization capability of the proposed method，the enhanced dataset is used to train
an AdaBoost．based face detector and test it on the MIT+CMU frontal face test set．The experimental results show
that the origina Platform: |
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Author:郭事业 |
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Description: 基于奇异值分解的人脸识别方法
梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅
提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性.
-Face recognition based on singular value decomposition method
Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan
Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La Platform: |
Size: 58368 |
Author:houhj |
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Description: 将图像提取gist向量，然后计算各向量之间的欧氏距离，进行比较。-Extracted gist vector image, and then calculate the Euclidean distance between vectors, for comparison. Platform: |
Size: 1024 |
Author:刘洋 |
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Description: Euclidean Distance Transform has been widely studied in computational geometry, image processing, computer graphics and pattern recognition. Euclidean distance has been computed through different algorithms like parallel, linear time algorithms etc. On the basis of efficiency, accuracy and numerical computations, existing and proposed techniques has been compared. This study proposed a new technique of finding Euclidian distance using sequential algorithm. An experimental evaluation has shown that proposed technique has reduced the drawbacks of existing techniques. And the use of sequential algorithm scans has reduced the computational cost. Platform: |
Size: 101376 |
Author:yasora |
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Description: 基于内容（颜色）的图像检索，用VC++实现算法——欧氏距离，可以在指定的目录下搜索相似的图案，旗帜，冬景等，是图像检索的最简单的模型，感兴趣的可以下载看看。-Content-based (color) image retrieval, using VC++ algorithm- Euclidean distance, you can search the directory specified similar pattern, flags, winter landscape, are the simplest retrieval model, interested can download look. Platform: |
Size: 5995520 |
Author:陈杨 |
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Description: 提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图
像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别
程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognition. This method between the two images by calculating the reconstructed image block average error, calculated using the linear discriminant analysis after dimension reduction of two images Euclidean distance, the integration calculation of reconstruction error and the Euclidean distance difference between these two images level. Platform: |
Size: 220160 |
Author:程德志 |
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Description: 采用小波变换，利用小波系数，作为图像纹理特征的检索。并采用欧式距离，将最相似的图像，按序排列下来-The wavelet transform using the wavelet coefficients as the retrieval of image texture features. And Euclidean distance, the most similar images in descending order down Platform: |
Size: 140288 |
Author:曾小浩 |
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Description: 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 164864 |
Author:EmilyFu |
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Search - image euclidean distance