Description: LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.
ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.
Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China.
Inspired by the link:
http://bigwww.epfl.ch/demo/jlocalnormalization/
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Size: 1449 |
Author:xj |
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Description: 如何在图像中加入某一固定snr的噪声？分类:matlab与图像处理
在利用matlab做一些自己算法的抗噪分析中，常常会遇到这个问题，matlab中的加噪函数是imnoise，里面的参数是噪声的均值，方差（高斯噪声）或者是感染概率（椒盐噪声），参数不能是snr值，但是很多国外的文章的噪声分析中都是用snr值来衡量加入噪声的程度的-how the image to a fixed snr noise? Categories : Matlab and image processing using Matlab to do some of his own anti-noise algorithm analysis, will often encounter this problem, which Matlab the noise function is imnoise. inside the parameters of the noise mean and variance (Gaussian noise) or the probability of infection (Impulse Noise) Parameter values can not be snr, But many foreign article noise analysis is used to measure the value snr joined the extent of noise Platform: |
Size: 2048 |
Author:顶替 |
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Description: LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.
ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.
Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China.
Inspired by the link:
http://bigwww.epfl.ch/demo/jlocalnormalization/
-LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.ln = localnormalize (IM, sigma1, sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Inspired by the link: http://bigwww.epfl.ch/demo/jlocalnormalization/ Platform: |
Size: 1024 |
Author:xj |
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Description: This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising.
-This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B Platform: |
Size: 1406976 |
Author:张文国 |
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Description: 对图象进行均值滤波的程序,选取一幅图象,加入噪声,对图象均值滤波,输出图象.-Means of image filtering process, select an image, adding noise, the mean of image filtering, the output image. Platform: |
Size: 1024 |
Author:叶开 |
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Description: 一些常用的图像处理cpp和对应的matlab接口 是非常常用的一些代码-Quick list of the source included:
imhist_thresh.cpp: Generate histogram from data,# of bins based on unique values.
imsmarthist_thresh.cpp: equalize data based on histogram
imsmartstd_thresh.cpp: equalize data based on standard deviation
im_absdiff.cpp: Absolute difference of two images
im_add.cpp: Add two images
im_addelem.cpp: Add a variable to an image
im_complement.cpp: Inverse of an image
im_div.cpp: Divide one image by another (pixel wise, not linear algebra)
im_divelem.cpp: divide an image by an element
im_find.cpp: generate a new image based on conditions, will be booleanish
im_fliplr.cpp: Flip image left right
im_flipud.cpp: Flip image up down
im_hist.cpp: Histogram of image, notes will explain how to display results
im_log10.cpp: Take the log of the image
im_max.cpp: Max value in the image
im_mean.cpp: Mean value of the image
im_median.cpp: Median value of the image
im_min.cpp: Min value of the image
im_mult.cpp: Mult Platform: |
Size: 496640 |
Author:Ming |
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Description: 种基于图像质量因子的图像融合客观评价方法。该方法利用熵加权和均方根图像融合质量因子对融合图像与源图像间的相关性、 亮度失真和对比度失真进行综合评价,因而在不同融合方法和不同源图像的条件下,可获得标准的评估统计量。采用加权平均、 拉普拉斯塔形分解及基于小波变换的图像融合法为例,通过对多传感器图像进行融合评价实验,证明了该方法的有效性和鲁棒性。-Factor based on image quality of the image fusion method of objective evaluation. This method is the use of entropy and the weighted root-mean-square image fusion quality factor of the fused image and the source of the correlation between image brightness and contrast distortion of a comprehensive evaluation of distortion, which fusion in different ways and different sources of image conditions, the availability of standards assessment statistics. Using the weighted average, Laplacian pyramid and wavelet transform-based image fusion method as an example of multi-sensor image fusion evaluation experiments show that the method is effective and robust. Platform: |
Size: 730112 |
Author:storm |
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Description: The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D Platform: |
Size: 1024 |
Author:mid |
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Description: 计算图像的均方差 绝对误差 以及自熵或自信息量的函数 -Calculating the image mean absolute error variance, as well as the amount of information from the entropy of a function or self Platform: |
Size: 1024 |
Author:王红卫 |
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Description: 图像峰度偏度函数，函数的变量里需要指明平均值和方差-Image kurtosis skewness function, the function of the variable need to specify the mean and variance Platform: |
Size: 1024 |
Author:haha |
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Description: 可以检测图像中圆和直线的信息，有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection and two methods for thresholding are also suggested. Experimental results show that the proposed method outperforms many popular edge detection methods, including Sobel, Prewitt, Frei-Chen, and Canny both visually and by quantitative edge map evaluation. Proper parameter selection can also provide segmentation of materials such as potential threat objects in x-ray luggage scan images. Platform: |
Size: 13312 |
Author:力量 |
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Description: Proccesing Digital Image to segmentation of image: know the characterist of an image, color, mean, etc. Platform: |
Size: 2811904 |
Author:Alejandro Martinez |
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Description: 1: MSE.m : to perform Mean Square Error between 2 images
2: most.m : to get the most redundant value in a matrix
3: getneighbors.m : to get circular neighbors of pixel
4: ColorSpaceConversion.m : convert an image into different color spaces and shows their channels
5: ImageSlicer : to separate the 8 bit planes of an image(return m*n*8 matrix)
5:-1: MSE.m : to perform Mean Square Error between 2 images
2: most.m : to get the most redundant value in a matrix
3: getneighbors.m : to get circular neighbors of pixel
4: ColorSpaceConversion.m : convert an image into different color spaces and shows their channels
5: ImageSlicer : to separate the 8 bit planes of an image(return m*n*8 matrix)
5: Platform: |
Size: 2048 |
Author:dr.n.a.s |
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Description: 对一幅图像加入高斯噪声和椒盐噪声后，分别进行均值滤波和中值滤波，比较两种滤波方法的优缺点-Of an image by adding Gaussian noise and salt and pepper noise, the mean filter, respectively, and median filtering, comparing the advantages and disadvantages of the two filtering methods Platform: |
Size: 5120 |
Author:zhaowei |
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Description: Abstract—Based on the observation that low-frequency DCT
coefficients of an image are less affected by geometric processing,
we propose a new blind MPEG-2 video watermarking algorithm
robust to camcorder recording. Both the embedding and
extraction of the watermarks are done in the compressed domain.
The mean of the low-frequency DCT coefficients of the video is
temporally modulated according to the information bits. To
reduce complexity, we embed watermark in the prediction error
signals of the B-frames. Experimental results show that the
proposed scheme achieves high video quality and robustness to
camcorder recording, trans-coding, frame-rate conversion, and
geometric attacks on common test videos. Platform: |
Size: 136192 |
Author:lie |
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Description: 改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its neighboring regions, the definition of mean and variance of gray distance, and according to its image on the establishment of a new connected graph, in order to over-segmentation of the image produced Some of the small region merging Second, cross-edge in the model, the use of CT image segmentation model has an internal statistical characteristics of the region, using region growing to get the point and re-parameterized model, the model is no longer cross the edge, to ensure model to the right edge of the deformation Platform: |
Size: 129024 |
Author:莉 |
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Description: Code to select a roi of an image and determine his mean and standar desviation for fluorescence images. Platform: |
Size: 2048 |
Author:Caio |
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Description: The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Here similar looking pixels are grouped together for efficiency of further processing. In segmentation a label is assigned to every pixel in an image such that pixels with same label share certain visual characteristics. There are many methods and algorithms to segment an image. Mean shift Algorithm is also an algorithm which can be used to segment a color image. Platform: |
Size: 120832 |
Author:ishan |
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Description: Most of the medical images are affected by different types of noises during acquisition, storage and transmission. So denoising of an image is a basic step in medical image processing. The normally used filtering techniques are, median and mean filters[2] .But, a single smoothening or median filter is not enough Platform: |
Size: 12288 |
Author:shankarmmy
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Search - mean of an image