Description: 图像集群（Image Clustering）
(1)图像读入，显示图像所在路径；
(2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群；
(3)运行后，在原图像上显示集群灰度图；
(4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image-- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map. Platform: |
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Author:mecal |
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Description: MATLAB与图像处理的的基础教程，对于初学者十分的有用。-MATLAB and Image Processing Guide to the foundation for beginners very useful. Platform: |
Size: 5772288 |
Author:王兆禹 |
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Description: 中南大学数字图像处理上机实验指导书及参考答案，全部由本人编写，在MATLAB 6.5上运行通过。包括图像变换及频域滤波，空间域图像增强，图像边缘检测及参考图片，比网上流传的好的多，是学习图像处理的基础。-Zhongnan University of digital image processing on the experimental guide and reference book answers all prepared by me, MATLAB 6.5 to run through. Image Transform and including the frequency domain filtering and spatial domain image enhancement, edge detection and reference photographs, spread over the Internet much more study is the basis of image processing. Platform: |
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Author:潘世雄 |
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Description: 水平集方法及其在图像分割上的应用,对水平集方法的原理进行了比较详细的阐述,并将其应用于图分割-Level Set Method and Its Application in Image Segmentation on the application of the principle of level set methods have been fairly detailed, and applied to graph partitioning Platform: |
Size: 240640 |
Author:万成凯 |
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Description: 用guide编的matlab界面,可以点击图像任意位置截取一小块-Guide prepared by the matlab interface, you can click the image anywhere on the interception of a small piece of Platform: |
Size: 6144 |
Author:郭华 |
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Description: Digital Signal and Image Processing Using MATLAB
The most important theoretical aspects of image and signal processing (ISP) for both deterministic and random signals are covered in this guide to using MATLAB® . The discussion is also supported by exercises and computer simulations relating to real applications such as speech processing and fetal-heart–rhythm tracking, and more than 200 programs and functions for numerical experiments are provided with commentary.-Digital Signal and Image Processing Using MATLABThe most important theoretical aspects of image and signal processing (ISP) for both deterministic and random signals are covered in this guide to using MATLAB Platform: |
Size: 5274624 |
Author:andy |
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Description: 提出了一种基于特征点的全自动无缝图像拼接方法。该方法采用对于尺度具有鲁棒性的SIFT算法进行特征点的提取与匹配，并通过引导互匹配及投票过滤的方法提高特征点的匹配精确度，使用稳健的RANSAC算法求出图像间变换矩阵H的初值并使用LM非线性迭代算法精炼H，最终使用加权平滑算法完成了图像的无缝拼接。-Based on feature points of automatic seamless image mosaic method. The method used for the scale robust algorithm SIFT feature point extraction and matching, and guide each other through the match and voting methods of filtering feature point improve matching accuracy, the use of robust RANSAC algorithm between images obtained transformation matrix H the initial value and use the LM non-linear iterative algorithm refining H, end-use-weighted smoothing algorithm to complete the image of the seamless splicing. Platform: |
Size: 151552 |
Author:小兔兔牙 |
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Description: Tutorial GUI to demonstrate basic functionality of various controls on the GUI-This GUI will help the novice user get up to speed very quickly on using GUI-based applications. Everything is laid out in a very simple Step 1, Step 2, Step 3, etc. layout. It is a very good starting point for a typical image analysis application. This application uses GUIDE to do the user interface design, and has most of the basic controls such as buttons, listboxes, checkboxes, radio buttons, scrollbars, etc. It allows the user to select a folder of images, select one or more images and display them, to select a series of options, and to individually or batch process one or more images. The user can optionally apply a mask (region of interest) to the image so that only the area within the mask will be analyzed. The results are optionally sent to Excel. In this demo, I do some very basic particle sizing but in use, the user would replace that simple demo code in the function AnalyzeSingleImage() with their own code. Works with Windows or Unix since paths are all forward slashes. Req Platform: |
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Author:zzz |
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Description: This guide can draw a mandelbrot figure. In default values it calculates Z=Z^2+C for 20 iterations, where Z initally equal to zero and C has the values of every pixel created by meshgrid function(built-in).
although mandelbrot equation is Z=Z^2+C you can change the degree of the equation between 1 - 50.
higher number in iteration, points in axes gives better results in image besides more resulting time.
to zoom an area of the figure you must aproximately choose the point and then change the center values to this point values then push Show Graph button. because of this is the first version there can be any lack of usage.
-This guide can draw a mandelbrot figure. In default values it calculates Z=Z^2+C for 20 iterations, where Z initally equal to zero and C has the values of every pixel created by meshgrid function(built-in).
although mandelbrot equation is Z=Z^2+C you can change the degree of the equation between 1- 50.
higher number in iteration, points in axes gives better results in image besides more resulting time.
to zoom an area of the figure you must aproximately choose the point and then change the center values to this point values then push Show Graph button. because of this is the first version there can be any lack of usage.
Platform: |
Size: 8192 |
Author:Mike Gao |
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Description: 这是本很好的Matlab图像处理实验指导书，Word格式，一共六个实验，每个实验有具体的matlab编码例子及具体讲解-This is a good guide book Matlab image processing experiments, Word format, a total of six experiments, each experiment has specific and concrete examples to explain matlab code Platform: |
Size: 126976 |
Author:予爽 |
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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: 植物虫害检测（GUI，注释，svm算法）
该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。
train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练
test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别
colorMom.m 颜色矩特征提取
Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm)
The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes.
Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them
Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category
Colormom. M color moment feature extraction
Gabor u Palm. M Gabor texture feature extraction) Platform: |
Size: 6463488 |
Author:for Matlab |
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Description: MATLAB答题卡识别（GUI，论文）
本课题为基于MATLAB的不变矩答题卡识别。可识别学号，学科，答案，并进行分数统计，以及判断是否及格。后台可设置标准excel答案。经过灰度变换形成灰度图像、二值化处理、图像滤波、边缘检测、hough变换等预处理。带GUI交互式界面。(Matlab answer card recognition (GUI, paper)
This topic is based on MATLAB moment invariant answer card recognition. Can identify student number, subject, answer, and carry out score statistics, as well as judge whether pass. Standard excel answers can be set in the background. After gray-scale transformation, gray-scale image, binary processing, image filtering, edge detection, Hough transform and other preprocessing are formed. With GUI interactive interface.) Platform: |
Size: 4011008 |
Author:for Matlab |
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Search - guide image matlab