Description: 关于matlab图象处理的直方图均衡化，理想平滑滤波器和中值滤波去除椒盐噪声的源代码，比较简洁，不妨-Matlab image processing on the histogram equalization, an ideal smoothing filter and median filter to remove salt and pepper noise of the source code, comparing simple, may wish to Platform: |
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Author:hbch |
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Description: 高斯平滑滤波器的Matlab实现，实现对一副图像的滤波处理，并把用自己滤波器进行滤波的实验结果与用Matlab函数进行滤波的结果进行比较。
-Matlab Gaussian smoothing filter to achieve, to achieve an image processing filter, and filter their own filtering of the experimental results with the use of Matlab functions to compare the results of filtering. Platform: |
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Author:amy |
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Description: 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-In this paper, designed and implemented an off-line handwritten numeral recognition system. The paper first pre-treatment identification numbers were introduced, including binarization, smoothing filter, normalization, thinning and other image processing methods secondly, to explore how to extract the number of characters in the structural characteristics and stroke features, and described in detail Knowledge of construction methods finally adopted in order to Knowledge-based template matching recognition method, and to MATLAB as a programming tool to achieve a friendly graphical user interface handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has good anti-noise performance. Platform: |
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Author:zhangying |
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Description: 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image Platform: |
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Author:caoliang |
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Description: 所给程序中，先给出一副原始图像，在其中添加椒盐噪声，然后用几种方法进行平滑滤波，包括邻域均值法，邻域中值滤波和K邻域均值滤波，其中的K邻域均值滤波所选掩膜为3*3，K值取5，图片选用board.ti。-Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including the neighborhood average method, o-field value filtering and K neighborhood mean filter, where K o domain mean filter mask for the selected 3* 3, K value of taking five, picture selection board.ti. Platform: |
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Author:hanyantao |
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Description: Recognition of visual patterns and characters are independent of position, size, and orientation in the visual field has been the goal of much recent research. The method presented in this paper meets all these condition. An off-line signature matching system which is based on Hu moment invariant method is presented here. Signature matching uses a four - steps process. In first step the scanned or captured color images are initially converted to grey scale. Second step performs normalization and digitization of the original signature. Noise reduction (also called “smoothing” or “noise filtering”) is one of the most important processes in image processing is performed in third step and then moment invariant vectors are obtained in the last step. Signature matching system is implemented using MATLAB and ability of the system can be increased by using additional features in the input data set. Platform: |
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Author:shivshankar mishra |
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Description: Image Edge Enhancing Coherence Filter Toolbox，各向异性非线性扩散滤波器-This toolbox will perform Anisotropic Non-Linear Diffusion filtering on a 2D gray/color or 3D image. This filtering will reduce the image noise while preserving the region edges, and also enhancing the edges by smoothing along them.
This is one of the more advanced image enhancement methods available, and also contains HDCS from october 2009. The result looks like an artist painted the image, with clear brush strokes along the image edges and ridges, see screen-shot.
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Author:陈翼男 |
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Description: 数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。
-Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise. Two pairs of images were used noise pollution neighborhood average, median filtering, K close to the average method to smooth. 3 on an image using Roberts gradient method, Sobel operator and Laplacian sharpening, and compare the results. Laws dealing with the source image capture and processing results. Platform: |
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Author:刘雨相 |
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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: |
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Author:zhou |
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Description: 本文的内容是基于红外图像的特征提取，在基于个数判断噪声的中值滤波器进行平滑处理的基础上,提出了一种改进的过渡区
提取方法,并将该方法应用于对比度低、宽谷直方图的复杂背景红外图像的分割。Matlab仿真
实验表明,该方法减少了图像分割的运算量,并能将具有复杂背景的红外图像目标分割得较
好。-This content is based on the infrared image feature extraction, the number of judgments based on the median noise smoothing filter based on an improved transition region extraction method and the method is applied to low contrast, wide Valley histogram segmentation of infrared image with complex background. Matlab simulation results show that the method reduces the computation of image segmentation, and can have a complex background object segmentation of infrared image better. Platform: |
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Author:邢春 |
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Description:
第一章作业：
用C语言或者VC，VB，Matlab或其他语言完
成如下实验：
1）打开一个BMP文件
2）将其局部区域的灰度值进行改变
3）另存为一个新的BMP文件
要求显示出原BMP图像和新BMP图像。
1。打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑。
2。打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
在图像中生成一个矩形，然后用模板匹配法找出矩形位置。使用SSDA或改进SSDA法。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
-Chapter operations: in C or VC, VB, Matlab or other languages to complete the following experiment: 1) open a BMP file 2) the gray value of its local area to change 3) Save as a new requirements display BMP files the original BMP image and the new BMP image. 1. Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filtering, K adjacent average smoothing. 2. Open the image using the Roberts gradient, Sobel operator and Laplacian sharpening, and compare the results. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be able to reconstruct the image according to encoding. Generate a rectangle in the image, then use template matching to identify position of the rectangle. Or improved using the SSDA SSDA method. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be Platform: |
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Author:杨智雄 |
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Description: 作业一
要求
用C语言或者VC，VB，Matlab或其他语言完成如下实验：
1）打开一个BMP文件
2）将其局部区域的灰度值进行改变
3）另存为一个新的BMP文件
要求显示出原BMP图像和新BMP图像。
作业二
要求
1. 编程实现图像傅立叶高通、低通滤波。
2. 尝试傅立叶压缩。
作业三
要求
编程实现图像DCT高通、低通滤波。并与傅里叶变换比较。
作业四
要求
找一幅曝光不足的灰度（或彩色）图像，按照直方图均衡化方法进行处理。
作业五（一）
要求
打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑。
作业五（二）
要求
打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。
-Operating a
Requirements
C or VC, VB, Matlab or any other language, complete the following experiment:
1) Open a BMP file
2) the gray value of its local area change
3) Save as a new BMP file
Requirement that the original BMP images and BMP images.
Task 2
Requirements
A programming image Fourier high-pass, low pass filtering.
Try Fourier compression.
Assignment 3
Requirements
Programming to achieve high-pass, low pass filtering, image DCT. And compared with the Fourier transform.
Fourth Assignment
Requirements
Looking for an exposure less than the gray (or color) image to be processed in accordance with the histogram equalization method.
Assignment 5 (a)
Requirements
Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filter, K, close to the average method of smoothing.
Assignment 5 (b)
Requirements
Open an image, use the gradient method of Roberts, Sobel operator and Laplacian sharpening, and compare the results. Platform: |
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Author:李海宁 |
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Description: 数字图像处理是指将图像信号转换成数字格式并利用计算机对其进行处理的过程。图像增强是数字图像处理的过程中经常采用的一种方法，它对提高图像质量起着重要的作用。本文先对图像增强的原理进行概述，然后对图像增强的方法分类并给出直方图增强、对比度增强、平滑和锐化等几种常用的增强方法的理论基础，通过Matlab实验得出的实际处理效果来对比各种算法的优缺点，讨论不同的增强算法的技术要点，并对其图像增强方法进行性能评价。-Digital image processing means converts the image signal into a digital form and processed by computer process them. Image enhancement is the process of digital image processing, a method often used, it is to improve the image quality plays an important role. This article first for an overview of the principles of image enhancement, and image enhancement methods for classification and gives the histogram enhancement, contrast enhancement, smoothing and sharpening enhancement of several commonly used methods of theoretical foundation, through Matlab experimental results of actual processing results to compare the advantages and disadvantages of various algorithms, discuss different techniques enhancement algorithm, and its performance evaluation image enhancement methods. Platform: |
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Author:简凡 |
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Description: 关于matlab数字图像平滑处理的源代码，通过比较几种不同平滑方法，得出噪声平滑的一般分类.-It is an about digital image smoothing processing of matlab source code which can get a general classification of noise smoothing by comparing several different smoothing method, Platform: |
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Author:袁欢 |
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Description: matlab应用中将一幅图像进行灰度变换，和各种平滑滤波边际滤波的程序(matlab application will be an image gray-scale transformation, and a variety of smoothing filter edge filtering procedures.They are generally used in medical image processing.) Platform: |
Size: 1024 |
Author:初学者i
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Search - smoothing an image matlab