Description: 该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码-Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding Platform: |
Size: 398336 |
Author:guhuxiang |
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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: |
Size: 335872 |
Author:caoliang |
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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: |
Size: 8192 |
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: 编写基本的图像处理程序，包括功能：
图像的读取、存储、显示（bmp、jpg等常用格式）
图像剪切、缩放
图像色彩变换（彩色->灰度等）
基本直方图变换和直方图均衡化
图像平滑与锐化
边缘抽取
阈值化
离散傅立叶变换
二值形态学处理（腐蚀、膨胀、开运算、闭运算）
-Preparation of basic image processing procedures, including functions: image reading, storage and display (bmp, jpg and other popular format), image cropping, scaling the image color change (color-> gray, etc.) basic histogram transform and histogram equalization image smoothing and sharpening the edge of the threshold of taking the discrete Fourier transform processing binary morphology (erosion, dilation, opening operation and closing operation) Platform: |
Size: 8192 |
Author:Nero |
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Description: 图像增强是指按特定的需要突出一幅图像中的某些信息，同时，消弱或去除某些不需要的信息的处理方法。其主要目的是处理后的图像对某些特定的应用比原来的图像更加有效。图像增强技术主要有直方图修改处理、图像平滑化处理、图像尖锐化处理和彩色处理技术等。-Image enhancement refers to the need to highlight a specific image in some of the information, the same time, weaken or remove some unwanted information approach. Its main purpose is the image after the application of certain more effective than the original image. Histogram of image enhancement technologies include modified processing, image smoothing processing, image processing and color processing sharpening technology. Platform: |
Size: 4096 |
Author:wanghui |
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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: matlab程序语言，图像增强算法的代码- Function [U, minv, SS] = Nonlinear_Diffusion (U_0, tau, eps, p, T, theta, sigma, fig_handle)
Performs nonlinear scalar valued and coupled vector/matrix valued diffusion
Inputs:
U_0 nxmx dxw input field:
D = 1, w = 1: scalar valued diffusion (eg grayscale image)
D> 1, w = 1: coupled vector valued diffusion (eg color image)
D> 1, w> 1: coupled isotropic matrix valued diffusion (eg nonlinear structure tensor)
Of tau 1 x 1 (optional) time the step size
Eps, 1 x 1 (optional) epsilon for the diffusivity function
P 1 x 1 (optional) p of the diffusivity function:
P = 0 corresponds to homogeneous diffusion gaussian the smoothing
0 <p <1 corresponds to the forward diffusion Platform: |
Size: 15360 |
Author:赵楠 |
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Description: 《图像处理的偏微分方程方法》随书光盘完整版
本光碟中包含五个文件夹。
（1）视频剪辑：可供教学演示，其中， two_cells 是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程； denoissing 是利用P_M方程，对图像平滑去噪的演化过程 curve_linear_heat_flow 是利用FT实现的闭合曲线的线性热流演化过程。
（2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。
（3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。
（4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。
本光碟中的所有内容，仅供教学和研究参考。-" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a description of the boo Platform: |
Size: 7414784 |
Author:marshal |
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Description: 1. 使用 RGB、索引和灰度级图像间转换的函数
2. 掌握彩色图像平滑的 MATLAB 仿真
3. 彩色图像锐化
4. RGB 彩色图像分割-1. The use of RGB, index and grayscale image conversion function
2. The master color image smoothing of MATLAB simulation
3. The color image sharpening
4. The RGB color image segmentation Platform: |
Size: 5054464 |
Author:薛菲 |
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Description: 本文是基于MATLAB的GUI来对不同的（彩色或灰色）图像进行图像增强的相关处理，主要包括以下四点：
频域变换：傅里叶变换和离散余弦变换及其反变换，可将图像在空域上的特性转化到频域上；
叠加噪声：对图像添加高斯噪声和椒盐噪声；
空域滤波：对噪声污染后的图像添加不同模板下的平滑滤波和锐化滤波，可选择不同模板尺寸；
频域滤波：对噪声污染后的图像添加理想低通滤波器、巴特沃斯低通滤波器、理想高通滤波器、巴特沃斯高通滤波器、带通滤波器、带阻滤波器等，可实现平滑图像的效果。-This article is based on MATLAB GUI for image enhancement associated processing different (color or gray) images, including the following four points: the frequency domain: Fourier transform and discrete cosine transform and inverse transform, the image can be characteristics of airspace on transformed into the frequency domain superimposed noise: the image to add Gaussian noise and salt and pepper noise spatial filtering: the image after adding noise pollution smoothing and sharpening filter under different templates, choose a different template size frequency domain filtering: the image after adding noise pollution ideal low-pass filter, Butterworth low-pass filter, the ideal high-pass filter, Butterworth high-pass filter, band pass filter, band stop filter, can achieve a smooth image effect. Platform: |
Size: 1406976 |
Author:笨鸟先飞 |
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Description: matlab彩色图形处理，包括全彩色图像处理基础，彩色变换，彩色图像平滑和锐化，彩色图像分割。-Matlab color graphics processing, including the full color image processing base, color transformation, color image smoothing and sharpening, color image segmentation. Platform: |
Size: 9922560 |
Author:higanbana |
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Description: 本案例基于MATLAB的GUI工具进行设计仿真实验：通过对采集的车牌图像进行灰度变换、边缘检测、腐蚀及平滑等过程来进行车牌图像预处理，并由此得到一种基于车牌颜色纹理特征的车牌定位方法，实现车牌区域定位，最后实现车牌字符的分割与识别。-In this case based on MATLAB GUI design simulation tool: through the license plate image capture through gradation conversion, edge detection, corrosion and smoothing process for the license plate image preprocessing, and thereby obtain a color texture features based on license plate the method of license plate location, license plate positioning to achieve, and finally realize the segmentation and recognition of license plate characters. Platform: |
Size: 280576 |
Author:郑珊珊 |
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Description: （1）图像基本操作：不同格式（大于3种）图像的读入与存盘、文字叠加、不同彩色空间的转换、图像的DCT及FFT变换等；
（2）图像增强：包括直方图拉升（线性和非线性）、直方图均衡、平滑与锐化（采用不同的滤镜），美颜（加分项）；
（3）图像恢复：几何操作（如旋转、缩放、投影校正等）、模糊恢复（如运动模糊消除等，加分项）；
（4）图像合成（加分项）：实现换头、换背景、图像拼接等功能。((1) Basic operation of image: reading and saving of images in different formats (more than 3 kinds), text superposition, conversion of different color spaces, DCT and FFT transformation of images, etc;
(2) Image enhancement: including histogram lifting (linear and non-linear), histogram equalization, smoothing and sharpening (using different filters), beauty (bonus item);
(3) Image restoration: geometric operations (such as rotation, scaling, projection correction, etc.), blur restoration (such as motion blur elimination, etc., plus points);
(4) Image synthesis (Bonus): realize the functions of head changing, background changing, image splicing, etc.) Platform: |
Size: 23153664 |
Author:ISSING |
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Search - color image smoothing matlab