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图像增强处理
- 使用了Box平滑模板、高斯平滑模板、拉普拉斯锐化模板对图像进行增强处理。-This project make use of Box moduling board,Goss moduling board and Laplas moduling board to enhance the images.
gaborfilter
- 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.
xiaoboji
- 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.
anisodiff
- 本程序实现灰度图像各向异性扩散(滤波算法，可以用于平滑信号，保留边缘，增强边缘对比度。与普通高斯算法相比，它不会平滑边缘的图像-This procedure to achieve gray-scale image anisotropic diffusion (filtering algorithm can be used to smooth the signal, retaining edge, to enhance the edge contrast. With ordinary Gauss
Gaussian_Lowpass_Filter
- 二阶高斯低通滤波器，实现对图像的平滑处理，-Gaussian second-order low-pass filter, to achieve the smoothing of images,
gauss
- 高斯平滑滤波(通过模板进行滤波，内含测试图片)-Gaussian smoothing filter (through the template filter, containing the test picture)
Gaussian_mixture_model
- 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approxi
4567notch_filter
- 自适应滤波高斯滤波的平滑噪声边缘检测 -lvbo
im_smooth
- 本程序功能为图像平滑的实现，平滑方法包括中值滤波、均值滤波和高斯滤波算法。可直接下载运行。-The program features for the realization of image smoothing。 The smoothing methods include median filtering, average filtering and Gaussian filtering algorithm. This program can be run directly after down
smooth
- 图像平滑与去噪，包括均值滤波，中值滤波，灰度形态学滤波，高斯低通滤波，统计滤波等-Image smoothing and denoising, including the mean filter, median filter, grayscale morphological filtering, Gaussian low-pass filtering, statistical filtering
gauspyr_vc6.0
- 图像多分辨率表示之高斯金字塔表示，可用于图像放缩和平滑及其他处理-Multi-resolution representation of the Gauss image pyramid that can be used for image scaling and smoothing, and other processing
73462671gose
- 高斯滤波算法计算文件的平滑处理很好用的用了才知道好不好-gass smoothing calculate img fddasas
guasssmooth
- 图像平滑用于去除图像中的噪声。高斯平滑，就是将每个像素的灰度值用其领域的加权平均值代替。该算法简单，能够有效去除高斯噪声。 -Image Smoothing is used to remove image noise. Gaussian smoothing is the gray value of each pixel with its weighted average of the field instead. The algorithm is simple and can effecti
vcmhphoto
- VC++对一幅图像进行高斯平滑模糊处理，效果不错，可以实现类似photoshop中的高斯模糊滤镜的效果，对VC编写图像处理软件的朋友很有帮助。 -VC++ on a Gaussian smoothing blur the image processing, good results can be achieved similar to the Gaussian blur filter photoshop effect of the VC write image-processing soft
juanji
- 卷积运算，功能很强大能进行图片的卷积处理，高斯滤波，平滑处理-convolve
hongwaituxiang
- 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 informati
GaussianFiltering
- 利用高斯核自行完成高斯平滑。 1.gkernel.m: 创建高斯核。 2.getnorm.m: 将高斯核归一化以求得该核的图像 3.convo.m：不用自带函数求卷积 4.conducting.m: 举例执行程序-1.gkernel.m: Buidling Gaussian kernels. 2.getnorm.m: Normalizing Gaussian kernel in order to display the kernel. 3.convo.m: calcula
smooth
- 基于高斯函数的平滑滤波，是一种图像分割的自适应FKCN方法。包含了原始文献。-Smoothing based on Gaussian function, is a method of image segmentation adaptive FKCN. Contains the original article.
Gaosi
- 这是运用高斯平滑算法对图像处理的程序，该压缩包包括全部源代码和处理图像-This is the use of Gaussian smoothing algorithm for image processing procedures, the compressed package includes full source code and image processing
Untitled3
- 高斯滤波器是一类根据高斯函数的形状来选择权值的线性平滑滤波器。高斯平滑滤波器对于抑制服从正态分布的噪声非常有效。(The Gauss filter is a class of linear smoothing filters that select weights based on the shape of the Gauss function. The Gauss smoothing filter is very effective in suppressing noise that obey