Description: 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods. Platform: |
Size: 65051 |
Author:bodiz2002 |
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Description: C语言图像处理宝典,拥有非常详细的c图像处理：二值化，灰度变换，噪声消除，微分运算，投影量计算，黑区域处理，特征提取，图像间的运算，几何变换-Image Processing C language, the book has a very detailed image processing c : binary, gray-scale transformation, noise elimination, Differential Operators, the projector in terms of black regional processing, feature extraction, image of operations, geometric transformation, etc. Platform: |
Size: 6228092 |
Author:ghostsx |
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Description: 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods. Platform: |
Size: 2247680 |
Author:bodiz2002 |
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Description: C语言图像处理宝典,拥有非常详细的c图像处理：二值化，灰度变换，噪声消除，微分运算，投影量计算，黑区域处理，特征提取，图像间的运算，几何变换-Image Processing C language, the book has a very detailed image processing c : binary, gray-scale transformation, noise elimination, Differential Operators, the projector in terms of black regional processing, feature extraction, image of operations, geometric transformation, etc. Platform: |
Size: 6227968 |
Author:ghostsx |
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Description: 虹膜识别中的特征提取算法：2D-Gabor滤波器算法，将归一化的虹膜图像由此滤波器滤波，可以得到二进制的特征编码。附图片。-Iris recognition in the feature extraction algorithm: 2D-Gabor filter algorithm, the normalized iris image resulting filter can be obtained characteristics of the binary encoding. Attached picture. Platform: |
Size: 958464 |
Author:galaft |
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Description: 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods. -This process the image into a binary image, and then the shape of the image feature extraction algorithm is very wide, including a variety of ways images shape extraction.-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods. Platform: |
Size: 65536 |
Author:宇文龍 |
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Description: 数字图像处理骨架提取，能将一个二值图像的骨架提取出来进行后续处理。骨架是一种非常重要的图像几何特征，在图像几何形态分析及相关领域具有非常广泛的应用，利用骨架表示原始图像，可以在保持图像重要拓扑特征的前提下，减少图像中的冗余信息。骨架既能压缩图像数据，保留区域的连通性和拓扑性，描述区域轮廓的几何特征，又能使原始图像完全或部分地从骨架中恢复或重构。-Skeleton extraction of digital image processing, to a binary image of the skeleton extracted follow-up to deal with. Skeleton is a very important feature of the image geometry, geometry in image analysis and related fields with a very wide range of applications, the use of the original image frame that may be important in maintaining the topological characteristics of the image under the premise of reducing the redundant information in images. Skeleton can compress image data, the reserved area of connectivity and topology, and describes the outline of the geometric characteristics of the region, and it also enabled the original image in whole or in part to recover from the skeleton or remodeling. Platform: |
Size: 72704 |
Author:hujiang |
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Description: 一种高效的基于二值图像的字符特征提取方法，可以高速准确的提取字符特征。-An efficient binary image based on the character feature extraction method to extract accurate high-speed characteristics of the characters. Platform: |
Size: 80896 |
Author:ruilg |
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Description: 根据指纹的固有规律，提出了一套较完整的指纹图像预处理和特征提取算法。改进了指纹脊线频率求取算法和二值图像去孔噪声
算法，并提出了一种新的滤除指纹伪特征点的方法。通过对上百幅不同质量的指纹图像进行测试，获得了较好的效果。
关键词：指纹；预处理；特征提取-According to the inherent laws of fingerprints, a set of more complete fingerprint image pre-processing and feature extraction algorithm. To improve the frequency of the fingerprint ridge strike algorithms and binary image noise algorithm to hole, and filter out a new fingerprint method of pseudo-feature points. Increase by hundreds of different fingerprint image quality testing, to obtain good results. Key words: fingerprint pretreatment Feature Extraction Platform: |
Size: 200704 |
Author:martin |
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Description: 为了更有效地提取图像的局部特征，提出了一种基于2维偏最小二乘法(two—dimensional partial least
square，2DPLS)的图像局部特征提取方法，并将其应用于面部表情识别中。该方法首先利用局部二元模式(1ocal
binary pattern，LBP)算子提取一幅图像中所有子块的纹理特征，并将其组合成局部纹理特征矩阵。由于样本图像
被转化为局部纹理特征矩阵，因此可将传统PLS方法推广为2DPLS方法，用来提取其中的判别信息。2DPLS方法
通过对类成员关系矩阵的构造进行相应的修改，使其适应样本的矩阵形式，并能体现出人脸局部信息重要性的差
异。同时，对于类成员关系协方差矩阵的奇异性问题，也推导出了其广义逆的解析解。基于JAFFE人脸表情库的
实验结果表明，该方法不但可以有效地提取图像局部特征，并能取得良好的表情识别效果。-To better the image of the local feature extraction, a partial least squares method based on 2D (two-dimensional partial least
square, 2DPLS) image local feature extraction method, and applied to facial expression recognition. In this method, use of local binary pattern (1ocal
binary pattern, LBP) operator extracts an image texture features of all sub-blocks, and their combination into the local texture feature matrix. As the sample image
Be translated into the local texture feature matrix, so the traditional PLS method can be generalized to 2DPLS method used to extract the identification information. 2DPLS method
Through the class membership matrix in the corresponding modifications to adapt the sample matrix, and can reflect the importance of face poor local information
Different. Meanwhile, members of the class covariance matrix of the singular relations issues, also derived the generalized inverse of the analytical solution. Based on the JAFFE facial expression database
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Size: 315392 |
Author:MJ |
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Description: 根据所给的图像判别各个区域内的人数，最后将各个区域内的人数进行汇总即可得整个车厢内的人数。运用了数字图像处理里的二值化、闭运算、设计了特征提取函数，波谷检测器等-According to the image identification number within each region, and finally the number of each region can be aggregated number of the compartments. The use of digital image processing in the binary and closing operation, the design of feature extraction function, trough detectors Platform: |
Size: 7845888 |
Author:尧颖婷 |
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Description: 指纹图像预处理与特征提取是指纹识别的前提。提出一套基于方向滤波与模糊数学方法的指纹图像
预处理算法, 并给出了指纹特征提取及其后处理算法。指纹图像预处理首先求出指纹的方向场, 然后根据方向
场进行滤波, 最后用模糊数学方法得到二值化图像。指纹特征提取则先从细化指纹图中得到特征点, 并依据伪
特征点的脊线与角度特征剔除伪特征点。-Fingerprint image preprocessing and feature extraction fingerprint identification is a prerequisite. Proposed a filter based on direction and the method of fuzzy fingerprint image preprocessing algorithm, and gives the fingerprint feature extraction and post-processing algorithms. First find the fingerprint image preprocessing fingerprint orientation field, and then filtered orientation field, and finally fuzzy binary images obtained. Fingerprint feature extraction is to start to get detailed fingerprint feature points and feature points based on pseudo-angle characteristics of the ridge line and remove the false feature points. Platform: |
Size: 355328 |
Author:陆玮 |
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Description: 利用MATLAB实现图像前期预处理功能（包括彩色图像的灰度化变换等、一般灰度图像的二值化处理、色彩增强等），边缘检测，图像分割，图像特征提取等图像处理。-Early use of MATLAB for image pre-processing functions (including color images of gray-scale transform, the general gray-scale binary image processing, color enhancement, etc.), edge detection, image segmentation, image feature extraction and other image processing. Platform: |
Size: 404480 |
Author:fft |
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Description: 提取图像方向梯度的直方图特征，image processing（图像处理）-HOG feature extraction
Description
This program is used to extract HOG(Histograms of oriented gradients) features from images. The integral histogram is used for fast histogram extraction. Both APIs and binary utility are provided.
It is written in C++.
References
N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005., vol. 1, 2005.
How to use:
1. To compile the code, you need download Boost library(http://www.boost.org/) with version 1.35 or higher.
2. To run the binary, you should make sure Boost so library is avaliable
3. The program are tested with Ubuntu 7.04, however, the API files are compitable with Windows also, and the binary utility hog.cpp depends on unistd.h.
Platform: |
Size: 552960 |
Author:朱 |
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Description: 本文的研究背景是车牌字符识别，识别包括0-9和A-E及R，共16个字符。每个灰度图像都是由36×20个像素点组成，存储形式为36×20的矩阵。将灰度图二值化后，形成0、1矩阵。通过一些简单的图像预处理后，采用一种新的面积法进行特征提取。-This paper is the research background of license plate character recognition, identification including 0-9 and A-E and R, 16 characters. Each gray image is the 36 × 20 pixels composition, storage form of 36 × 20 matrix. Will gray image after binary, forming a 0, 1 matrix. With some simple image preprocessing, adopting a new method of feature extraction.
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Size: 2048 |
Author:cxx |
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Description: demo program a complete fingerprint feature extraction procedures. Including all the algorithms commonly used options.Centralize: binary image, Center Point- Crop: image pruning- Sectorize: Visualization fan- Normalize: normalized input image- Gabor filters: Visualization Gabor Filter- Convolute: Calculation of the input image and Gabor filter convolution- Features: Characteristics of visualization- FingerCode: in the database to join the fingerprint- Check: Fingerprint matching Platform: |
Size: 367616 |
Author:harry |
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Description: LBP纹理特征提取算法。首先将检测窗口划分为16×16的小区域（cell），对于每个cell中的一个像素，将其环形邻域内的8个点（也可以是环形邻域多个点，如图 3‑ 4. 应用LBP算法的三个邻域示例所示）进行顺时针或逆时针的比较，如果中心像素值比该邻点大，则将邻点赋值为1，否则赋值为0，这样每个点都会获得一个8位二进制数（通常转换为十进制数）。然后计算每个cell的直方图，即每个数字（假定是十进制数）出现的频率（也就是一个关于每一个像素点是否比邻域内点大的一个二进制序列进行统计），然后对该直方图进行归一化处理。最后将得到的每个cell的统计直方图进行连接，就得到了整幅图的LBP纹理特征-LBP texture feature extraction algorithm. First detection window is divided into 1616 small area (cell), one pixel in each cell, its circular neighborhood of 8 points (You can also ring neighborhood, as shown in Figure 3-4 example of application of the LBP algorithm, three neighborhood shown) clockwise or counterclockwise, the center pixel value than the adjacent points, then adjacent points assigned to 1, otherwise the assignment is 0, so that each point will an 8-bit binary number (usually converted to a decimal number). And then computing the histogram of each cell, each number (assuming that is a decimal number) the frequency (that is, one on each pixel next to the interior point for a binary sequence of statistics), then the histogram normalized. Finally, get the histogram of each cell to connect, to get the whole image of the LBP texture features Platform: |
Size: 4096 |
Author:nana |
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Description: 基于中心投影的不变特征提取，方法较新，使用的范围还不是很广，对二值图像和文字比较有用-Invariant feature extraction, based on the central projection of the newer methods, the use of the range is not very wide, more useful to the binary image and text Platform: |
Size: 3565568 |
Author:帅 |
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Description: Feature extraction for image retrieval:
This software extracts the four kinds of features,
1. Color histogram, color moments
2. Edge histogram
3. Gabor wavelets transform
4. Local Binary Pattern
5. GIST
-Feature extraction for image retrieval: This software extracts the four kinds of features, 1. Color histogram, color moments 2. Edge histogram 3. Gabor wavelets transform 4. Local Binary Pattern 5. GIST Platform: |
Size: 2839552 |
Author:肖肖 |
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Search - feature extraction of binary image