Description: GUI界面,能方便的对图像进行灰度变换、直方图均衡、增大及缩小分辨率、不同模板数的高斯平滑滤波器和加权平滑滤波器等
-GUI interface, can make it easier for the gray-scale transformation of the image, histogram equalization, increase and reduce the resolution, the number of different templates Gaussian smoothing filter and the weighted smoothing filters, etc. Platform: |
Size: 804864 |
Author:王勇 |
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Description: 一个GUI界面,实现图像读入,滤波等功能,适合初学matlab的GUI者-A GUI interface, the realization of the image read, filter and other functions, suitable for novice matlab from the GUI Platform: |
Size: 5120 |
Author:siant |
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Description: 这是一个MATLAB GUI源代码,实现黑白图像的滤波处理,MATLAB版本为7.6-this is a source code of matlab gui, which manage to filter the gray image.the version of matlab can not be older than v7.6 Platform: |
Size: 26624 |
Author:yv |
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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: 用matlab语言编写了一个GUI截面,通过该界面可以实现图像的傅立叶变换,反傅里叶变换,高低通滤波,以及把黑白图像转化成灰度图像等功能。-Matlab language with a GUI section, the interface can be achieved through the Fourier transform of the image, anti-Fourier transform, high and low pass filter, and the black and white image into gray image and other functions. Platform: |
Size: 2048 |
Author:fang |
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Description: 各种Gui matlab举例、卡尔曼滤波、串口调试-Various examples of GUI, signal and information processing, image processing, serial port Calman filter Platform: |
Size: 12783616 |
Author:王俊 |
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Description: 使用MATLAB处理图像,掌握均值滤波器和加权均值滤波器的使用,对比两种滤波器对图像处理结果及系统自带函数和自定义函数性能的比较,体会不同大小的掩模对图像细节的影响。(The use of MATLAB image processing, master the use of mean filter and weighted mean filter, comparison of two kinds of filter to the image processing results and system of its own function and custom function properties, effects of different sizes of mask on the image details.) Platform: |
Size: 1032192 |
Author:鹞078
|
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Description: 本文主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像分割、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。
该课题为基于MATLAB的指纹识别系统,带有丰富的人机交互GUI界面。目前毕业设计选题中,传统指纹识别不易得到高分,基本都是对指纹进行处理,而没有比对两者指纹是不是同一个人,轻易被导师被否决。因此建议做成两个指纹进行比对,输出结果,以文字和声音方式播报结果。整个设计在一个GUI界面上完成。(This paper mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing fingerprint image, the redundant part of the original image is removed to facilitate the subsequent recognition processing; feature extraction is mainly to extract the endpoint and bifurcation points after thinning fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images Whether it comes from the same finger.) Platform: |
Size: 2781184 |
Author:王春水 |
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Description: 本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像灰度化、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.) Platform: |
Size: 3789824 |
Author:www.wobishe.com |
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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: 本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像分割、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.) Platform: |
Size: 3682304 |
Author:可乐一生 |
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