Description: matlab绘图。详细综合matlab的绘图方法，包括二维，三维绘图。以及相映的图象编辑功能。能从多角度对图象进行处理！-Matlab graphics. Detailed and comprehensive Matlab graphics, including 2D and 3D graphics. , And form a contrast image editing features. From the perspectives of image processing! Platform: |
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Author:马大 |
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Description: 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分类判别函数与判别规则，通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th Platform: |
Size: 6144 |
Author:uhih |
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Description: 计算图像纹理共生矩阵及共生矩阵相关系数、熵等几个特征值，供后续的分类识别应用。提供了友好的操作界面。觉得最好的应用就是用于人脸识别的样本训练。-calculated image texture symbiotic matrix and symbiotic correlation coefficient matrix, some features, such as entropy values for the follow-up to the recognition and classification application. Provide a friendly interface. Think the best applications for the face recognition is a sample of training. Platform: |
Size: 90112 |
Author:leilin |
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Description: 一个提取图像小波纹理特征和颜色特征的源码-a wavelet extraction image texture features and color characteristics of the source Platform: |
Size: 1024 |
Author:陈晶晶 |
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Description: 在本设计中源于将图像看作随机场的实例,同时从信号处理的观点出发，对图像进行统计描述。通过K-L变换降低人脸特征的维数，提取人脸图像的代数特征，并排序。这样，利用代数特征的比较，可从人脸库中识别一幅人脸。-in the design of the images from the airport as with the examples, from the viewpoint of signal processing, right image descriptive statistics. Through K-L transform facial features to reduce the dimension, extracting facial image algebraic characteristics, and sorting. Thus, the use of algebra, from the human face an identifiable face. Platform: |
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Author:hhh |
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Description: 此程序计算图像的七个不变矩，提取出图像的形状特征，可用于图像检索。-This procedure of calculating the image of seven invariant moments, the shape of extracted image features, can be used for image retrieval. Platform: |
Size: 1024 |
Author:Owenli |
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Description: 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码，子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification. Platform: |
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Author:章格 |
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Description: 关于图像处理中常用的一些功能的matlab源代码-Commonly used in image processing on some of the features of the matlab source code Platform: |
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Author:张秀秀 |
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Description: 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image set to use PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification. Platform: |
Size: 165888 |
Author:tanghui |
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Description: 外国人写matlab 的gobor特征运算工具箱，包括一，二维gobor特征提取工具。-Matlab Toolbox for Gabor Features in Signal and Image Processing. v0.4.1 Platform: |
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Author:周简单 |
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Description: 应用matlab或VC语言编制图像处理软件，软件功能如下：
一、实验类型
1． 读入图像，并对灰度图像或彩色图像进行显示，对彩色图像可以转化为灰度图像；（8学时）
2． 对读入的图像可以实现减小和提高图像分辨率的功能（16学时）
3． 计算灰度图像的直方图并进行显示，讨论不同图像灰度分布的直方图特征（16学时）
4． 对上述图像进行直方图均衡化处理，分析直方图均衡化的处理结果；（16学时）
5． 对给定的彩色图像，显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成中值滤波和均值滤波，模板大小取 ， ， ， ；（16学时）
6． 对上述功能设计功能界面（8学时）
二、设计类型
1、 噪声分析 在不同光照条件下获取图像，从图像中截取一部分背景灰度区（单一灰度），对该子图像进行直方图统计，分析不同光照条件下的噪声强度。
2、 设计一高斯平滑滤波器和加权平滑滤波器，分别采用两种滤波器取模板大小为 ， ， ， 的情况下进行图像平滑，分析两种滤波器的处理结果，并讨论不同模板大小情况下的处理结果。
3、 对上述功能设计功能界面
-VC application or language matlab image processing software, software features are as follows:
First, the experiment type
1. Read into the image, and gray-scale images or color images show that color images can be transformed into gray-scale image (8 hours)
2. To read the image can be reduced and improve the function of image resolution (16 hours)
3. Gray-scale image histogram calculation and display, to discuss the distribution of different gray-scale image histogram features (16 hours)
4. The above histogram equalization image processing, analysis, histogram equalization processing results (16 hours)
5. Of a given color image shows the R, G, B three-component image and the noise image H, S, I completed three-component median filter and mean filter, template size check,,, (16 hours)
6. Functional design features of the above-mentioned interface (8 hours)
Second, design the type of
1, the noise analysis in different light conditions to obtain images from the image Platform: |
Size: 83968 |
Author:yangyong |
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Description: 本程序功能是计算2幅彩色图像的PSNR,以此来评价图像处理的效果-This program features the calculation of two color images of the PSNR, in order to assess the effect of image processing Platform: |
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Author:陈增境 |
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Description: the image processing technique in obtaining the features present in the blood vessels of a retinal image is given Platform: |
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Author:Madhavaraja |
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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
Platform: |
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Author:MJ |
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Description: 灰度门限化许多情况，图象是由具有不同灰度级的两类区域组成。如文字与纸张、地物与云层（航空照片）。其特点:直方图具有两个峰，分别与两个灰度级范围相对应 。故可选择一个门限，将两个峰分开。-Gray threshold of many cases, the image is gray level of two different regional groupings. If words and paper, surface features and cloud cover (aerial photograph). Its features: histogram has two peak, respectively, with the two gray-scale range corresponding to. So choose a threshold, separating the two peaks. Platform: |
Size: 69632 |
Author:lscvenus |
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Description: 毕设内容，高光谱图像基本处理，主要实现单波段提取与伪彩色图像合成功能，提供程序框架，更多功能只需嵌入即可。另用MATLAB写了其GUI。-Complete set content, the basic processing of hyperspectral images, mainly for single-band pseudo-color image extraction and synthesis, to provide procedural framework, more features can only embed. MATLAB was also used their GUI. Platform: |
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Author:张磊 |
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Description: 该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。
请举出下列文件如果您发现此代码有用：
Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法
http://seas.harvard.edu/〜 rkkumar
radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能，
getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器
makeBarFilters.m：助手为高斯函数的二阶导数滤波器
sample.png：示例图像在此演示使用-The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images.
Please cite the following paper if you find this code useful:
Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010
http://seas.harvard.edu/~rkkumar
radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features
getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters
makeBarFilters.m : Helper function for Gaussian Second Derivative Filters
sample.png : Sample image for use in this demo
Platform: |
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Author:zhou |
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Description: 基于SVM分类器的三域特征融合图像隐写分析算法。三域分别是指dct域，dwt域和空域。-A Steganalysis Based on the Fusion of Three-domain Features of Image and SVM (Support Vector Machines) Classifier.the three domain is the dct,the dwt and the space Platform: |
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Author:rita |
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