Description: Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively). Platform: |
Size: 2048 |
Author:gz |
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Description: The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.-The software implements particle filteri Vi and Rao Blackwellised particle filtering az r conditionally Gaussian Models. The RB algori thm can be interpreted as an efficient stochast ic mixture of Kalman filters. The software also includes efficient state-of-the-art resampl ing routines. These are generic and suitable az r any application. Platform: |
Size: 130048 |
Author:大辉 |
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Description: 用自适应数字滤波器进行谱线增强,噪声信号是均值为零,方差为1的高斯白噪声-Using adaptive digital filters for line enhancement, noise signal is zero mean, variance 1 Gaussian white noise Platform: |
Size: 1024 |
Author:清风 |
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Description: Gaussian filtering in one, two or three dimensions is among
the most commonly needed tasks in signal and image processing.
Finite impulse response filters in the time domain
with Gaussian masks are easy to implement in either floating
or fixed point arithmetic, because Gaussian kernels are
strictly positive and bounded. But these implementations are
slow for large images or kernels. With the recursive IIRfilters
and FFT-based methods, there are at least two alternative
methods to perform Gaussian filtering in a faster way,
but so far they are only applicable when floating-point hardware
is available. In this paper, a fixed-point implementation
of recursive Gaussian filtering is discussed and applied
to isotropic and anisotropic image filtering by making use of
a non-orthogonal separation scheme of the Gaussian filter. Platform: |
Size: 1024 |
Author:yangdi |
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Description: The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
-The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar-xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
Platform: |
Size: 202752 |
Author:晨间 |
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Description: GUI界面，能方便的对图像进行灰度变换、直方图均衡、增大及缩小分辨率、不同模板数的高斯平滑滤波器和加权平滑滤波器等
-GUI interface, can make it easier for the gray-scale transformation of the image, histogram equalization, increase and reduce the resolution, the number of different templates Gaussian smoothing filter and the weighted smoothing filters, etc. Platform: |
Size: 804864 |
Author:王勇 |
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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: |
Size: 1397760 |
Author:swx |
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Description: 这个GUI界面软件能从你的计算机里读出你的图像，可以加入噪声，而给你提供各种滤波器来研究他们的特性。噪声类型：高斯噪声、淑盐噪声、泊松噪声-This GUI based code can read images from your computer , add noise to it and gives you different types of filters to study their performance.
The Noises type :
Gaussian
Salt & Pepper
Poisson
Platform: |
Size: 3072 |
Author: |
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Description: Design frequency domain Ideal, Butterworth and Gaussian band pass filters to filter the input image. Use your own grayscale picture as the input image. The filters must be passing frequencies between radius of 30 and 120 frequency components of the Fourier spectrum (30<D0<120).
- input image
- Fourier spectrum of the image
- Frequency domain filter function image
- Band pass filtered image- Design frequency domain Ideal, Butterworth and Gaussian band pass filters to filter the input image. Use your own grayscale picture as the input image. The filters must be passing frequencies between radius of 30 and 120 frequency components of the Fourier spectrum (30<D0<120).
- input image
- Fourier spectrum of the image
- Frequency domain filter function image
- Band pass filtered image Platform: |
Size: 1024 |
Author:mustafa |
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Description: MATLAB医学影像处理实验(内含14个原代码及教学的说明)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fourier transform of a square function is a SINC function
(5)1-D low-pass filters and their point-spread functions
(6)2-D low-pass filters and their point-spread functions
(7)Fourier Transform of circles and an ellipse
(8)Image rotation and magnification
(9)MR k-space data reconstruction and low-pass filter
(10)Display an image in gray level
(11)Display an image in color
(12)Region of interest selection and display
(13)Cross correlation between temperature and humidity
(14)Independent component analysis of mixed music files -MATLAB Medical Image Process Experiments (including 14 source code and course documents)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fourier transform of a square function is a SINC function
(5)1-D low-pass filters and their point-spread functions
(6)2-D low-pass filters and their point-spread functions
(7)Fourier Transform of circles and an ellipse
(8)Image rotation and magnification
(9)MR k-space data reconstruction and low-pass filter
(10)Display an image in gray level
(11)Display an image in color
(12)Region of interest selection and display
(13)Cross correlation between temperature and humidity
(14)Independent component analysis of mixed music files Platform: |
Size: 2280448 |
Author:江儜昶 |
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Description: 各类同态滤波器的比较，如指数同态滤波器，高斯同态滤波器，低通同态滤波器，高通同态滤波器-Comparison of various types of filters with the state, such as the index homomorphism filter, Gaussian filter with the state, low-gang-state filters, high-gang-state filter Platform: |
Size: 1024 |
Author:淑琴 |
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Description: 关于Steerable filtering decomposition 的matlab程序,- STEERGAUSS Implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in:
W. T. Freeman and E. H. Adelson, "The Design and Use of Steerable Filters", IEEE PAMI, 1991. Platform: |
Size: 388096 |
Author:张宇 |
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Description: Algorithm that reduce the image noise applying Gaussian, Moving Average and Median Filters-Algorithm that reduce the image noise applying Gaussian, Moving Average and Median Filters Platform: |
Size: 2048 |
Author:Antonio |
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Description: In this paper we develop and analyze real-time and
accurate filters for nonlinear filtering problems based on the
Gaussian distributions. We present the systematic formulation
of Gaussian filters and develop efficient and accurate numerical
integration of the optimal filter. We also discuss the mixed
Gaussian filters in which the conditional probability density
is approximated by the sum of Gaussian distributions. A new
update rule of weights for Gaussian sum filters is proposed.
Our numerical testings demonstrate that new filters significantly
improve the extended Kalman filter with no additional cost and
the new Gaussian sum filter has a nearly optimal performance Platform: |
Size: 414720 |
Author:Gomaa Haroun |
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Search - Gaussian filters