搜索资源列表
mymfc
- 用OPENCV实现的Canny算子，Sobel算子，Laplace算子，简单不带尺度模糊，简单模糊，中值滤波，高斯滤波，双向滤波滤的示例程序。-OPENCV achieved by Canny operator, Sobel operator, Laplace operator, simple and without dimension fuzzy, simple fuzzy, median filtering, Gaussian filtering, two-way filter filter
SAR_Filter
- SAR图像的滤波器，包括GAMMA、lee以及中值滤波-SAR image filters, including GAMMA, lee, and median filtering
toolbox_image
- unctions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image l
erlang
- arithmetic mean filter,geometric mean filter,harmonic mean filtercontra-harmonic mean (Q=-ve),contra-harmonic mean (Q=+ve),median filter,max filter,min filter,mid point filter and alpha-trimmed filters are applied for erlang noise image-arithmetic me
exponential
- arithmetic mean filter,geometric mean filter,harmonic mean filtercontra-harmonic mean (Q=-ve),contra-harmonic mean (Q=+ve),median filter,max filter,min filter,mid point filter and alpha-trimmed filters are applied for exponential noise image-arithmet
gaussian
- arithmetic mean filter,geometric mean filter,harmonic mean filtercontra-harmonic mean (Q=-ve),contra-harmonic mean (Q=+ve),median filter,max filter,min filter,mid point filter and alpha-trimmed filters are applied for gausian noise image-arithmetic m
raly
- arithmetic mean filter,geometric mean filter,harmonic mean filtercontra-harmonic mean (Q=-ve),contra-harmonic mean (Q=+ve),median filter,max filter,min filter,mid point filter and alpha-trimmed filters are applied for ralye noise image-arithmetic mea
Lab-07
- Median, Min and Max Filters using openCV
Sarfilter
- SAR图像常用的滤波器，包括Lee滤波、Gamma_Map滤波、中值滤波、维纳滤波。-SAR image filters, including the Lee filter, Gamma_Map filtering, median filtering, Wiener filtering.
third
- 首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。 -Pictures first generate the following form: in IOUs 7 pixels wide by 210 pixels high, IOUs between the width of 17 pixels. Apply a varie
test
- 首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 然后应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。最后详细比较上述的结果，并分析原因。（内含实验报告）-Pictures first generate the following form: in IOUs 7 pixels wide by 210 pixels high, IOUs between the width of 17 pixels
MATLABshiyongyuandaima
- 目录 1.图像反转 2 2.灰度线性变换 2 3.非线性变换 4 4.直方图均衡化 5 5. 线性平滑滤波器 6 6.中值滤波器 7 7.用Sobel算子和拉普拉斯对图像锐化： 8 8.梯度算子检测边缘 9 9.LOG算子检测边缘 11 10.Canny算子检测边 缘 12 11.边界跟踪 （bwtraceboundary函数） 13 12.Hough变换 14 13.直方图阈值法 16 14. 自动阈值法：Otsu法 18 15.膨胀
MATLABshiyongdaima1
- 目录 1.图像反转 2 2.灰度线性变换 2 3.非线性变换 4 4.直方图均衡化 5 5. 线性平滑滤波器 6 6.中值滤波器 7 7.用Sobel算子和拉普拉斯对图像锐化： 8 8.梯度算子检测边缘 9 9.LOG算子检测边缘 11 10.Canny算子检测边 缘 12 11.边界跟踪 （bwtraceboundary函数） 13 12.Hough变换 14 13.直方图阈值法 16 14. 自动阈值法：Otsu法 18 15.膨胀
Filtres
- this application java is for reading images and apply somme filters like gaussian, mean, median, sobel, prewitt, robert filter and others
GausFilt
- 使用高斯滤波器和中值滤波器分别对图像进行滤波，之后与原图做差，得到两个滤波器的滤除点的分布的直观见解-Using a Gaussian filter and a median filter for filtering the image, respectively, and then do the difference with the original image, to obtain two filters filter the visual point of view the distri
process
- 在数字图像处理中，常常会遇到图像中混杂有许多的噪声。因此，在进行图像处理中，有时要先进行祛除噪声的工作。最常用的祛除噪声的方法是用滤波器进行滤波处理。MATLAB的图像处理工具箱里也设计了许多的滤波器。如均值滤波器、中值滤波器、维纳滤波器等。用户可以很方便的运用一些函数完成数字滤波工作。-In digital image processing, the image often encounter mixed with a lot of noise. Therefore, when the ima
noise-remover
- 利用环绕像素排列找中间值的方法对图片进行去噪，分为中级过滤器和高级过滤器两种-Looking around the pixel array using the method of image median denoising divided into intermediate filters and advanced filters two kinds
spfilt1
- 首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 -First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs.
denoisingFilters
- denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned filters, it is become obvious clear that for the given noisy im
Untitled
- 程序目的是分别在灰度图像中加入一定量的高斯噪声和椒盐噪声，然后采用3×3的均值滤波器和3×3中值滤波器分别对噪声图像进行处理，给出两种处理方法的峰值信噪比(PSNR)；仿效“中值滤波”的方法，对原图像分别进行“极大值滤波”和“极小值滤波”，对所形成的图像给出说明。-Program aims were a certain amount of Gaussian noise and impulse noise in grayscale image, and then using mean and me