Description: 在图像处理中经常涉及分类，多次有用到非参数估计。本程序用Parzen窗来估计，用随机高斯函数来作计策信号.-in image processing involves classification, the many useful to the non- parametric estimation. The procedure used to estimate Parzen window, using random Gaussian function to signal for the ploy. Platform: |
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Description: Harris Corner角点检测，可以通过设置高斯窗口宽度、高斯函数方差、非极大抑制领域和阀值，来改变提取点角点的范围和数目。-corner detection, can set the Gaussian width of the window, Gaussian function variance, non-inhibited areas and great threshold to change the point from the corner of the scope and number. Platform: |
Size: 3793920 |
Author:王天麟 |
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Description: 中心/ 环绕Retinex 算法。自从Retinex 理论提出以来, Land 本人和其他
人先后提出了Retinex 不同的变种, 最新的一个版
本是中心/ 环绕Retinex 7 。该方法比较以前的版
本, 运算速度显著提高, 而且物理意义更加清楚。
这种运算与人类视网膜和大脑皮层神经元的神经生
理学函数相关, 其形式类似于自然视觉科学中常用
来模拟单个神经元感受野的高斯差分函数-center/around Retinex algorithm. Since Retinex theory, Land I and others have raised Retinex different varieties, The latest version is a center/around Retinex 7. The method compared with the old version, computational speed significantly improved, but more clear physical meaning. Such operations and human retinal neurons in the brain and nerve function related physiology, form similar to the natural visual science used to simulate the feeling of individual neurons in the wild Difference of Gaussian function Platform: |
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Description: Bi-dimensional Gabor filter with DC component compensation
This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation:
G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)),
where:
Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2))
Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P)))
DC(F,S,P)=exp(-pi*(F/S)^2+j*P)
File Id: 13776 Average rating: 0.0
Size: 1 KB # of reviews: 0
Submitted: 2007-01-26 Downloads: 274
Subscribers: 0
Keywords: gabor filter
Stiven Schwanz Dias
-Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k* Gaussian (x, y, S)* (Sinusoid (x, y, F, W, P)- DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi* S* 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j* (2* pi* F* (x* cos (W) y* sin (W)) P))) D C (F, S, P) = exp (-pi* (F/S) ^ 2* P j) File Id : 13776 Average rating : 0.0 Size :# 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias Platform: |
Size: 1024 |
Author:石峰 |
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Description: 该程序在matlab平台上实现了用最佳提取图像边缘的canny算子提取整副图像的边缘象素.
其中利用高斯函数滤除噪声和用高斯算子的一阶微分对图像滤波合并为一个算子,通过形态学算子将两幅图像的边缘进行连接.-The program in matlab platform to achieve the best extraction of the canny edge operator extract the whole image edge pixel deputy. Which use Gaussian function to filter out the noise and the use of Gaussian operator of the first-order differential of the image filtering into an operator, through morphological operators to the brink of two images connect. Platform: |
Size: 5120 |
Author:秀秀 |
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Description: DoG(Difference of Gaussian)滤波算子，主要用于边缘特征提取，用于模式识别中的分割预处理。其主要参数为两个高斯函数的方差，针对方差设计可以对不同的图像特征情况下有不同的表现。-DoG (Difference of Gaussian) filtering operator, the edge feature extraction is mainly used for pattern recognition of the partition pretreatment. The main parameters for the two Gaussian function of variance, the variance for design characteristics of the different images have different circumstances performance. Platform: |
Size: 2048 |
Author:wang |
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Description: 高斯平滑是去除图像噪声的一种方法，用低频滤波器处理，低通滤波器的作用就是滤掉高频分量，从而达到减少图象噪声的目的，高斯平滑指的是滤波用的模版是高斯（guass）模版，通过采样2维高斯函数得到。-Gaussian smoothing is to remove the image noise is a means to deal with low-frequency filter, low pass filter function is to filter out high frequency components, so as to achieve the purpose of reducing the image noise, Gaussian smoothing refers to the filter used template is a Gaussian (guass) template by sampling 2-dimensional Gaussian function to be. Platform: |
Size: 50176 |
Author:yue |
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Description: 对15阶高斯导函数给出各自的峰值功率，从图中可以看出他们的峰值功率的区别！-15-order derivative of Gaussian function are given their peak power, can be seen from the graph of their difference between peak power! Platform: |
Size: 1024 |
Author:娜娜 |
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Description: 利用小波变换检测突变点实验的实例，程序最后生成3个图像演示了该算法，分别为原数字信号、高斯函数作为基函数、高斯函数的一阶导数作为基函数的小波变换。-Mutation detection using wavelet transform examples of experimental points, the program generates the final three images to demonstrate the algorithm, namely, the original digital signal, Gaussian function as basis function, Gaussian function of the first order derivative as the base function of wavelet transform. Platform: |
Size: 1024 |
Author:ladan |
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Description: 采用低通性质的平滑函数为高斯函数，根据他的一阶导数、二阶导数作为小波基函数进行突变点分析。
-The use of low-pass nature of the smoothing function for the Gaussian function, according to his first derivative, second derivative wavelet basis function as a point mutation analysis. Platform: |
Size: 1024 |
Author:ladan |
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Description: 数字图像的边缘检测
本科毕业设计（边缘检测是数字图像处理中的重要内容。本文首先对图像的边缘检测的各种算法和算子做了总结和分析。Canny最早提出了边缘检测的三条连续准则:最优检测结果、最优定位和低重复响应,并在这些准则的基础上得到了“最优线性滤波器”―高斯函数的一阶导数。经过十几年的发展,目前已经有了对这个准则的很多改进,本文也对这个方面的工作做了小结。Demigny在理论分析和实践的基础上给出了边缘检测的离散准则,并且证明在离散准则中Canny提出的第三个准则可以被阀值操作所取代。本文利用了数值方法求出了Demigny离散准则下阶梯形边缘检测的最优线性滤波器和对应着它的平滑算子。利用这个算子和Canny边缘检测方法得到了一个完整的边缘检测算法并用VC++实现了这种算法.从算法对大量图像边缘检测的结果来看,这种算法虽然简单但是效果很好,是边缘检测的一种很好的实用方法。-Edge detection is important in image procession. This paper made a summary and analysis of edge detecting algorithm and edge detector. Canny has proposed three continuous criteria to compare the performance of different filters: good detection, good localization and low-responses. Based on these criteria he got optimal filter for edge detection: derivative of Gaussian function. After more than ten years research, Canny’s theory has been ameliorated in many aspects, this paper also made a review of it. Based on the practice and theory. Demigny gave three discrete criteria for edge detection like Canny’s criteria and he has proofed that the third criterion can be replaced by an appropriate thresholding operation. This paper used numerical method to get the optimal filter and smooth operator under the Demigny’s criteria. Then I combine these filters and Canny’s edge detecting technique to get an integrated edge detecting algorithm. I have implemented the algorithm using VC++. From the res Platform: |
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Author:swx |
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Description: 通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘（8个方向变换）。-Gaussian function through derivative edge detection in real terms is adjustable direction edge detection wavelet transform (change the direction of 8). Platform: |
Size: 259072 |
Author:qht |
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Description: 高斯函数能构成一个在频域具有平滑性能的低通滤波器。可以通过在频域做乘积来实现高斯滤波。-Constitute a Gaussian function to the frequency domain with a smooth performance of the low-pass filter. Can be done in the frequency domain Gaussian filter to achieve the product. Platform: |
Size: 35840 |
Author:zb |
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Description: In probability theory, the normal (or Gaussian) distribution, is a continuous probability distribution that is often used as a first approximation to describe real-valued random variables that tend to cluster around a single mean value. The graph of the associated probability density function is “bell”-shaped, and is known as the Gaussian function. Platform: |
Size: 159744 |
Author:hunny |
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Description: C语言编写的，输入行数和列数，直接生成二维高斯函数矩阵(C language, the number of input lines and columns directly generate two-dimensional Gaussian function matrix) Platform: |
Size: 368640 |
Author:cjx_lhkfw |
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