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: 715 |
Author:yangdi |
Hits:
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 |
Hits:
Description: 运用Perona-Malik各向异性扩散模型对3d图像进行平滑去噪。此方法可以有效的抑制高斯噪声，并保护图像的边缘特征。-The use of Perona-Malik anisotropic diffusion model for smooth 3d image denoising. This method can effectively suppress Gaussian noise and to protect the image of the edge feature. Platform: |
Size: 3072 |
Author:wzq |
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Description: 包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。-It contains four parts：
[1]MATLAB function:diffusion.m gauss.m
[2]Linear diffusion
Applying linear diffusion to images creating linear scale-space.
MATLAB code: demo_lin.m
Image: haifa1.bmp
[3]Linear complex diffusion
Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m
[4]Nonlinear diffusions:
Perona-Malik ["Anisotropic diffusion"]
Catte et al. regularization of P-M
Complex ramp-preserving diffusion
Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects.
MATLAB code: demo_nldif.m
Image: ct_scan.bmp Platform: |
Size: 239616 |
Author:吴豪科 |
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Description: 为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立
强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方
向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和
边缘保持能力.
-In order to suppress noise, as far as possible to keep the image edge information, an adaptive anisotropic Gaussian filter design methods. The method by the independent strength spread (IDS) model determines the long axis of the filter scale, the pixel neighborhood smoothness determine the ratio of minor axis, and then there' s gray gradient direction of adaptive decision the long axis of anisotropic filter. Simulation results show that the proposed adaptive anisotropic filter has a strong noise suppression and preserve edges. Platform: |
Size: 207872 |
Author:wangcong |
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Description: the package contains some methods of diffusion filters to smooth the noisy images without losing important data such as edges in image analysis,including anisotropic diffusion(Perona-Malik), linear isotropic,median and Low Pass Gaussian filter. Platform: |
Size: 1024 |
Author:reza |
Hits:
Description: 对李纯明的DRLSE进行了改进 利用各向异性扩散提高了分割弱边缘的能力 改进的高斯滤波代替惩罚项 加快了演化速度 节省了时间-The DRLSE to LiChunMing improved using anisotropic diffusion improve the segmentation of improvement of the ability weak edge gaussian filtering instead of penalty term accelerated evolution speed save time Platform: |
Size: 1024 |
Author:kongsuhong |
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Description: 本程序实现灰度图像各向异性扩散(Anisotropic Diffusion)滤波算法，可以用于平滑信号，保留边缘，增强边缘对比度。与普通高斯Gaussian算法相比，它不会平滑边缘的图像。-The program grayscale image anisotropic diffusion (Anisotropic Diffusion) filtering algorithm can be used to smooth the signal, keep the edge, the edge of the contrast enhancement. Compared with ordinary Gaussian Gaussian algorithm, which does not smooth the image edges. Platform: |
Size: 2048 |
Author:tenwing |
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Description: 这是一个基于各向异性扩散的canny边缘检测算法，比传统的基于线性滤波的边缘检测算法检测的边缘要准确。-It is based on a PM (anisotropic diffusion) of the canny edge detection algorithm based on edge than the traditional Gaussian edge detection algorithm to accurately Platform: |
Size: 1046528 |
Author:张洁 |
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Description: 各向异性高斯滤波器是从高斯滤波器发展而来，成为图形图像的重要特征.-Anisotropic Gaussian filter the Gaussian filter evolved to become an important feature graphic images. Platform: |
Size: 5120 |
Author:任菲菲 |
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Search - anisotropic Gaussian