搜索资源列表
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bmp图像数字处理；图像信息的统计：直方图，最大最小灰度，熵，方差，平均灰度；灰度变换：分段线性变换，阈值，直方图的均衡化；中值滤波（加噪声），梯度算子；数字卷积，增加一个过滤类；几何变换：旋转，几何校正
-bmp image digital processing image information of the statistics: histogram, max-min gray, entropy, variance, average gray gray-scale transfor
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最小邻域均值投影函数及其在眼睛定位算法.提出一种投影函数：最小邻域均值投影函数．该函数通过计算每条投影线上各像素点邻域均值的最小值
来跟踪图像中的低灰度特征．与传统的积分投影函数和方差投影函数相比，它以求最小值的局部选择性代替传统投
影函数的全局累加性，因此具有对片状噪声不敏感的特点、此外，在计算过程中，它还能记录最小值点的二维位置信
息，是一个二维的搜索算子、最小邻域均值投影函数的这些特点使其非常适合于眼睛定位．它对眼睛，特别是瞳孔，总
能够产生精确、鲁棒的响应通过在CAS—P
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Decompose image into subbands, denoise, and recompose again.
fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig)
covariance: are we considering covariance or just variance?
optim: for choosing between BLS-GSM (opti
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Decompose image into subbands, denoise using BLS-GSM method, and recompose again.
fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig)
im: image
Nsc: number of scales
filter: type of filter used (see namedFilt
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Abstract—The fingerprint segmentation algorithm based on gray
variance can t segment those fingerprint images with high noise.
After analyzing limitation of the fingerprint image segmentation
algorithm based on gray variance, the paper proposes
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在图像中添加高斯噪声，必须详细地说明噪声均值和方差。-Add Gaussian noise in the image must detail the noise mean and variance.
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Total Variation Denoising-TV denoising (scalar fidelity term) [ROF92]
Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white
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BMP图像处理程序，包括模拟信道产生的高斯加性噪声；图像灰度变换；图像的拉普拉斯边缘提取；中点滤波法的debluring；图像线性模糊。
图形显示函数，包括DDA方法画直线；中点裁剪法；liang-barsky算法的窗口裁剪；种子填充算法；
随机信号处理程序，包括产生正态分布、均匀分布样本；计算其均值与方差；各样本的概率分布直方图分析；功率谱分析；样本叠加的PSD分布分析。-BMP image processing procedures, including analog channel
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本实验开发一个通用程序， 用在后续的几个实验中。(a) 编写一个给图像中添加高斯噪声的程序，程序的输入参数为噪声的均值与方差。
(b) 编写一个给图像中添加椒盐噪声的程序，程序的输入参数为两个噪声分量的概率值。
-In this study, the development of a common procedure, used in the follow-up of several experiments. (A) preparing a program to add Gauss
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matlab自动编程求取图像的峰值信噪比和方差-matlab automatically programmed to strike the image peak signal-to-noise ratio and variance
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对图像进行斑点噪声的添加，用方程f=f+n*f将乘性噪音添加到到图像f上，其中n是均值为零，方差为var的均匀分布的随机噪声。
-Image spots of noise, multiplicative noise is added to the equation f = f+n* f to the image f, where n is zero mean, variance var, uniformly distributed random noise.
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本实验要求开发一个通用程序，即要求编写一个给图像中添加高斯噪声和椒盐噪声的程序，添加高斯噪声的程序输入参数为噪声的均值和方差，添加椒盐噪声程序的输入参数为两个噪声分量的概率值。-This experiment requires the development of a common program, that is required to write a program to add Gaussian noise and salt and pepper noise to the image, a
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使用MATLAB GUI用户界面实现对打开的图像进行直方图均衡化，加噪（设置均值和方差），旋转（设置旋转角度）并保存。-MATLAB GUI user interface to open image histogram equalization, plus noise (set the mean and variance), rotation (to set the rotation angle) and save.
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Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noi
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噪声抑制的两个关键环节为建立真实后向散射系数的估计机制和制定同质区域像素样本的选择方案。Lee滤波是利用图像局部统计特性进行图像斑点滤波的典型方法之一，其是基于完全发育的斑点噪声模型，选择一定长度的窗口作为局部区域，假定先验均值和方差可以通过计算局域的均值和方差得到。-Two key aspects of the estimated noise suppression mechanisms for the establishment of the backscattering coefficie
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对图像添加高斯噪声和椒盐噪声，并分别使用均值滤波和中值滤波去噪。-Noise Generators. 1. Find (or develop) a program to add Gaussian noise to an image. You must be able to specify the noise mean and variance 2. Find (or develop) a program to add salt-and-pepper (impulse) noise to an
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Add Gaussian white noise (mean=0 and variance=0.05 ) to the image using
imnoise command. Now use fftshift command to put all zero frequencies in the
middle. Low-pass filter this function by applying a mask saving only the central
Fourier coeffi
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图像去雾算法质量评价标准：均值方差，峰值信噪比及平均梯度的源代码，还有引导滤波的完整源代码。-Image quality uation algorithm defogging criteria: mean and variance, the peak signal to noise ratio and average gradient of the source code, as well as guide the filter complete source code.
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we present an improved fuzzy
C-means (FCM) algorithm for image segmentation by introducing
a tradeoff weighted fuzzy factor and a kernel metric. The
tradeoff weighted fuzzy factor depends on the space distance of
all neighboring pixels and th
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对含有噪声的图像进行自适应方差双边滤波，与中值滤波进行比较-Consists of the noise image variance adaptive bilateral filtering, comparing with the median filtering
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