Description: I ve made an aplication in matlab using GUI, where you can load an image(.jpg) and a file (.txt). Platform: |
Size: 88064 |
Author:Alric |
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Description: A very simple program with simple GUI
to rotate any image by 90, 180 or 270 degrees
It can load/save file from any location
and displays the time elapsed in processing Platform: |
Size: 5120 |
Author:mio |
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Description: 图像特征识别通过神经网络训练方法实现，是学习参考的好资料-you will need first to run the file that name "charGUI4.fig" and on the right side there is a load training set where you have to train the system first, run any data that is should be from 1 to 9 and 0 like ( 1 2 3 4 5 5 6 7 8 9 0) as many line as you want so if you have a traning data that is 10 columns by 5 lines then you have to assign that to the small boxes that name column and line. right now keep the#words as is because I plan to use it but I change my mind so that it is automatically count the word for you.
after you train the system then load any image test, from the "Load Image" once you upload the image then choose the "select" and then go to the uploaded image and select whatever you want to recognize, after that select "crop" to crop the exact part that you want to recognize after that selcet "Features Extraction" to extract the features after that choose the "recognize" to see the results up on the result box.
P.S. keep in mind that the program has been tested on the Platform: |
Size: 709632 |
Author: 反对撒 |
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Description: The application works with non-compressed grayscale AVI files. Run mainGUI.p. Load AVI file first using "Load". To process the next frame use "Step". To run the application until stop, use "Run" and "Stop". You can draw the tracking object using mouse at any step. You can use the function on_threshold separately:
thresholded image = on_threshold(double( grayscale image ),1,number of thresholds)
thresholds value = on_threshold(double( grayscale image ),0, number of thresholds)
All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 14 SP1. Matlab Image Processing Toolbox is required. Platform: |
Size: 102400 |
Author:Swati |
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Description: INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE
Nsdcalc.m is a Matlab program for performing the image enhancement process
described in the accompanying paper. Place the program in your work directory
along with the demonstration data file grav.txt. At the Matlab prompt type
>> g=load( grav.txt )
-and you should see a variable called g which is 200x200 double precision
reals appear in the workspace. To filter this data type
>> f=nsdcalc(g,3,0)
which will calculate the standard deviation in a 3x3 window and apply
no prior smoothing. The results will then appear onscreen in a window.
You may need to adjust the histogram of the output for optimal display.-Nsdcalc is a Matlab program that performs normalised standard deviation analysis for edge enhancement of gravity and EM potential-field datasets Platform: |
Size: 172032 |
Author:蒋礼 |
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Description: matlab gui, 包括了4个很好的例子：
1.具有多个坐标轴的GUI，主要学习控制哪一个坐标轴是绘图命令的对象和用编辑文本框读入输入的数。
2.列表框目录阅读器，主要学习获取路径，加载，打开文件
3.从列表框中存取工作区变量，学习把存在于基本工作区的变量名放进列表框，选择多项等
4.地址簿阅读器，这个比较综合，用得技术也比较多。包括打开，保存，修改mat文件，利用handles结构保存和重新调用共享数据。-matlab gui, including four very good example: 1. with multiple axes of GUI, the main learning control which axis is the object of drawing commands and edit the text boxes with the number of read input. 2. The list box directory reader, the main study to obtain the path, load, open the file 3. From the variable list box to access the work area, learning the basic work area exists in the variable names into the list box, select a number of other 4 . address book readers, the more integrated, more technology used. Including open, save, modify mat file, save and re-use handles structure called shared data. Platform: |
Size: 25600 |
Author:lewis |
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Description: 本演示实现了主动轮廓模型由Kass等人提出。
要运行它的图形用户界面
1。基于MATLAB型引导提示。
2。关于“到现有的图形用户界面，点击”
3。选择在与本文件相同的目录snk.fig文件
4。按一下上方的绿色箭头启动图形界面
一旦GUI已经启动，您可以通过使用蛇
1。点击“新形象”，并加载输入图像。提供的样品图像。
2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。
3。只要你点击“过滤器”，头发会出现交叉，用他们和你左击鼠标，您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下，你应该单击对象周围的一切你想要的部分。最后一点，必须挑选使用右键单击，以阻止更多的积分为MATLAB的要求。
4。设置各种蛇参数（在能源方面的相对权重的蛇目标函数）或离开它们的默认值，然后按一下他们“迭代”按钮。蛇会出现和移动，因为它收敛到它的低能量状态。-This demo implements the Active Contour Models as proposed by Kass et al.
To run it with GUI
1. Type guide on the matlab prompt.
2. Click on "Go to Existing GUI"
3. Select the snk.fig file in the same directory as this file
4. Click the green arrow at the top to launch the GUI
Once the GUI has been launched, you can use snakes by
1. Click on "New Image" and load an input image. Samples image are provided.
2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image.
3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points.
4. Set the various snake paramete Platform: |
Size: 333824 |
Author:zhou |
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Description: 分析一个文件夹及其子文件夹下所有的html文档，并查找文档中加载的png图片文件，通过urlwrite函数下载并保存png类型的图片文件到硬盘上。
此matlab代码用到了网络连接，下载，并且通过多线程技术，增加了下载的速度。
可以通过这个方法，下载网页中的内容，可以说想怎么下，就怎么下。-Analysis all the files of type html in a folder, find the documents that load png image file.Then download and save the png file to harddisk through urlwrite function . Platform: |
Size: 2048 |
Author:金颂扬 |
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Description: 这是一个用MATLAB代码实现的一个关于图像的特征描述子的提取 以及相应特征点进行匹配的代码 可用于图像识别 或者立体匹配。-This is a MATLAB code with a descriptor on the image feature extraction and matching feature points in the corresponding code can be used for image recognition or stereo matching.
This directory contains compiled binary programs for finding SIFT
invariant features that can run under Linux or Windows. In addition,
there is a Matlab script as well as C source code showing how to load
the features and do simple feature matching. Platform: |
Size: 396288 |
Author:peter |
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Description: 这是在matlab编程环境下，用小波变换实现的图像去噪处理程序。本程序可以直接加载电脑中的图片而不是使用matlab中自带的图像数据。适合小波变换去噪处理的初学者。-This is a programming environment in matlab, using wavelet transform for image denoising process. The computer program can load images directly instead of using image data that comes with matlab. Wavelet denoising for beginners. Platform: |
Size: 5607424 |
Author:zysy |
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Description: Pass the Images Through Optics -- Use a Gaussian "Aperture Function"
This code segement can use a measured aperture function just as easily - simply replace the next five lines by "load measured_aperture" where measured_aperture is the measured function strored in ASCII and the data stored in the file measured_aperture.mat is a MATLAB .mat file that contains the matrix apfunction. (in MATLAB type "help load" for how to use load and look at the c and fortran code that shows how to read and write MATLAB .mat files).
(Note: When the Point Spread Function is Gaussian, then so is the Aperture function)
To simulate the effect of the tracker optics, each of the movie frames is now blurred using a 2-D FFT (Fast Fourier Transform). The first frame of the resulting image is shown in Figure 1.
- Pass the Images Through Optics -- Use a Gaussian "Aperture Function"
This code segement can use a measured aperture function just as easily - simply replace the next five lines by "load measured_aperture" where measured_aperture is the measured function strored in ASCII and the data stored in the file measured_aperture.mat is a MATLAB .mat file that contains the matrix apfunction. (in MATLAB type "help load" for how to use load and look at the c and fortran code that shows how to read and write MATLAB .mat files).
(Note: When the Point Spread Function is Gaussian, then so is the Aperture function)
To simulate the effect of the tracker optics, each of the movie frames is now blurred using a 2-D FFT (Fast Fourier Transform). The first frame of the resulting image is shown in Figure 1.
Platform: |
Size: 1024 |
Author:sabah_altaie |
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Description: 本程序在matlab中运行。
Generate_SystemMatrix是一个计算OSEM，MLEM迭代图像算法中系统矩阵的函数，其用法Generate_SystemMatrix（pixel），为所要重建图像的大小，一般为64,128,256，pixel也大运算越慢。
里面的diedai-test文件是一个简单的MLEM重建算法，其中要加载SystemMatrix矩阵就是Generate_SystemMatrix(128)的结果，注意如果要运行diedai-test，生成的系统矩阵名要保存为SystemMatrix，否则出错。
testsino是一个正弦图实例，就是MLEM算法中的投影矩阵，机算是数据。-This program is run in matlab. The Generate_SystemMatrix is a calculation of the OSEM, a function of the system matrix MLEM iterative image algorithm, its use Generate_SystemMatrix (pixel) to rebuild the image size, usually 64,128,256, pixel also large computing slower. Inside diedai-test file is a simple MLEM reconstruction algorithm, which load SystemMatrix matrix is the result of Generate_SystemMatrix (128), pay attention to if you want to to run diedai-test, the generated system matrix is saved as SystemMatrix, otherwise an error. testsino instance of a sinogram projection matrix MLEM algorithm, machine be regarded as data. Platform: |
Size: 173056 |
Author:cc |
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Description: 在matlab环境下图片生成水印。生成水印的过程，其实分为三个环节：第一，载入原始图片 第二，载入水印图片 第三，保存新的图片。-Images generated watermark in the Matlab environment. Generate a watermark in the process, in fact, divided into three components: First, load the original picture second, loading watermark image Third, save the new image. Platform: |
Size: 1024 |
Author:潘璐 |
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Description: This Matlab/C code contains routines to perform level set image segmentation according to:
(1) various multiphase (multiregion) formulations, including a fast scheme where the computation load grows linearly with the number of regions and,
(2) various region-based image descriptions which generalize the standard piecewise constant Chan-Vese model the descriptions include Gamma distribution models for image data corrupted by multiplicative noise as in remote sensing synthetic aperture radar (SAR), and medical imaging ultrasound. Also included is kernel mapping as an alternative to explicit image modeling.-This Matlab/C code contains routines to perform level set image segmentation according to:
(1) various multiphase (multiregion) formulations, including a fast scheme where the computation load grows linearly with the number of regions and,
(2) various region-based image descriptions which generalize the standard piecewise constant Chan-Vese model the descriptions include Gamma distribution models for image data corrupted by multiplicative noise as in remote sensing synthetic aperture radar (SAR), and medical imaging ultrasound. Also included is kernel mapping as an alternative to explicit image modeling. Platform: |
Size: 322560 |
Author:v.r.s.mani |
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Description: 关于神经网络控制，阐述了负荷预测的应用研究,在MATLAB中求图像纹理特征，包括面积、周长、矩形度、伸长度，多目标跟踪的粒子滤波器，PLS部分最小二乘工具箱。- On neural network control, It describes the application of load forecasting, In the MATLAB image texture feature, Including the area, perimeter, rectangular, elongation, Multi-target tracking particle filter, PLS PLS toolbox. Platform: |
Size: 6144 |
Author:sbzddk |
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Description: 阐述了负荷预测的应用研究,用于建立主成分分析模型，在MATLAB中求图像纹理特征，用于图像处理的独立分量分析，ICA（主分量分析）算法和程序，具有丰富的参数选项,基于分段非线性权重值的Pso算法。- It describes the application of load forecasting, Principal component analysis model for establishing, In the MATLAB image texture feature, Independent component analysis for image processing, ICA (Principal Component Analysis) algorithm and procedures, It has a wealth of parameter options, Based on piecewise nonlinear weight value Pso algorithm. Platform: |
Size: 11264 |
Author:srdwp |
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Description: level set水平集图像分割算法matlab程序实现-This Matlab/C code contains routines to perform level set image segmen-
tation according to:
(1): various multiphase (multiregion) formulations, including a fast scheme
where the computation load grows linearly with the number of regions
and,
(2): various region-based image descriptions which generalize the standard
piecewise constant Chan-Vese model the descriptions include Gamma
distribution models for image data corrupted by multiplicative noise as
in remote sensing synthetic aperture radar (SAR), and medical imag-
ing ultrasound. Also included is kernel mapping as an alternative to
explicit image modeling Platform: |
Size: 77824 |
Author:Kathy C |
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Description: 包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，是机器学习的例程，基于chebyshev的水声信号分析，在MATLAB中求图像纹理特征，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料，使用混沌与分形分析的例程。- Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines. Platform: |
Size: 9216 |
Author:zyijrigd |
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Description: 阐述了负荷预测的应用研究,一种基于多文档得图像合并技术，在MATLAB中求图像纹理特征。- It describes the application of load forecasting, Based on multi-document image obtained combining technique, In the MATLAB image texture feature. Platform: |
Size: 5120 |
Author:kigwxcin |
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Description: 1.被动悬挂设计simulink模型
2.对于任意一段路面谱，求出其功率谱密度与频率的分布关系，在标准路面图中画出曲线验证路面
3.积分白噪声法路面构造simulink模型
4.整车平顺性分析simulink模型
5.实际路谱案例，c级路面
6.悬架动载荷功率谱密度图像画图matlab编程(1. Simulink model for passive suspension design 2. For any section of road spectrum, the distribution relationship between power spectral density and frequency is obtained, and the curve is drawn in the standard road map to verify the road surface 3. The Simulink model of pavement construction based on the integral white noise method 4. Vehicle ride comfort analysis Simulink model 5. Actual road spectrum case, class C pavement 6. Matlab programming of suspension dynamic load power spectral density image drawing) Platform: |
Size: 71680 |
Author:miaomiaomiao875 |
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Search - load image in Matlab