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图像去躁之邻域算法
- 本程序用来实现数字图像的消除噪声，采用邻域加权求平均的算法，在原来基础上作了一点小小的优化-the procedures used to achieve the elimination of digital image noise, using Neighborhood weighted average for the algorithm, based on the original made one small Optimization
pinghuachuli
- 噪声消除发，邻域平均发，中值滤波，产生噪声-noise elimination hair, a neighborhood average, median filtering, generating noise
myimageprocess2
- matlab实现直方图均衡化，直方图匹配，邻域平均，局域增强，中值滤波-Matlab histogram equalization, histogram matching, neighborhood average, local enhanced Median Filtering
dip2
- 基于信息融合的图像边缘检测方法研究,⑴直方图均衡化（histogram equalization），⑵直方图匹配（histogram matching），⑶邻域平均（neighborhood averaging），⑷局域增强（local enhancement）， ⑸中值滤波（median filtering）。-Edge detection method, 1 histogram equalization (histogram equalization). 2 histogram matchi
tuxiangpinghuachuli
- 该程序可以通过邻域平均法，中值滤波等多种方法消除图像中的躁声．还可以在图像中生成躁声．-the program through Neighborhood average, median filtering and other methods to eliminate the image impatient voice. The images can also generated impatient voice.
DigitalImageProccessexperiment
- Matlab环境下的几个数字图像处理实验，包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等-Several digital image processing experiments, including gray transform, histogram equalization, histogram matching, neighborhood average, local increase, median filtering and image shar
DSPLIT.DSW1
- 二值图像的黑白点噪声滤波,邻域平均法,中值滤波,产生噪声-two values point to the black and white image noise filtering, neighborhood average, median filtering, generating noise
matlab.imnoise.conv2
- 数字图像邻域平均法去噪的实现(包括有Ｍ文件和图像)-neighborhood Digital Image Denoising the average realized (including M documents and images)
VC++pinghua
- 应用VC++6.0完成图像的去噪,邻域平均法,中值滤波法-completed application VC 6.0 Image Denoising, neighborhood average, median filtering method
erweizuida
- 本程序是基于二维最大熵的灰度图象分割，它考虑了两方面的因素：点灰度和邻域平均灰度。
ImageProcessing
- 大概包括：左右、上下、中心对称，中值滤波，平移、裁剪、二值处理、膨胀、腐蚀、提取边界、缩放、旋转（中心保持不变和中心随旋转变化）、加权平均滤波（里面将四邻域、八邻域、laplace、sobel算子定义为数组并调用）。-Perhaps include: around from top to bottom, the center symmetry, median filter, pan, cutting, deal with two values, expansion, corrosion, ext
image
- 该程序描述了用不同窗口的邻域平均滤波，来实现对含噪声图像的去噪处理，效果很好！-Descr iption of the program window with different neighborhood average filter, to achieve denoising images with noise to deal with, very good!
ImageSmoothProcessing
- 图像平滑处理的一些常用功能，包括噪声消除方法/邻域平均法/中值滤波/产生噪声等功能-Image smoothing of some commonly used functions, including noise reduction methods/neighborhood average/median filtering/noise functions
image5
- 针对图像的噪声，进行平滑去噪，中值滤波，邻域平均法，还有产生椒盐噪声和随机噪声。取自《vc++图像处理程序设计》第5章-Against the image noise, denoising smoothing, median filtering, neighborhood averaging method, as well as generate Salt and pepper noise and random noise. Retrieved from " vc++ image pro
DigitalImageSmoothingAlgorithm
- 图像平滑处理的方法多种多样,有邻域平均、 空间低通滤波、多图像平均、中值滤波、改进的梯度倒数加权法等几种现有的空域,以及须域图像平滑葬法等。-Image Smoothing variety of treatment methods, there is an average neighborhood, spatial low-pass filtering, multi-image average, median filtering, to improve the gradient of the
lvbo
- 邻域平均法滤波 原图像画面清晰，添加勒椒盐噪声后图像上产生勒明显的黑色斑点（噪声），用不同模板的平滑滤波处理后图像上的噪声消失，但是图像变得模糊，并且，使用的模板越大，对图像的去噪效果越好，同时图像也变得越模糊。 -Neighborhood averaging filter clear picture of the original image, add the Le Salt and pepper noise generated after the image Roming notic
DigitalImageSmoothlyProcessingBasedonCBuilder
- 介绍了图像增强技术中, 空间域处理方法中的邻域平均法的原理、算法, 及该原理在 windows 平台上以C++ Builder 为开发工具的具体程序实现。-Describes the image enhancement technology, the spatial domain approach in the principle of neighborhood averaging method, algorithm, and the principle in windows platfor
SpatialFrequencyDomainImageEnhancement
- 灰度变换增强程序 1.灰度变换增强程序 2.直方图灰度变换 3.直方图均衡化程序举例 4.直方图规定化程序举例 1.线性平滑滤波 2.中值滤波器 3. 4邻域8邻域平均滤波算法 1.低通滤波器 2.布特沃斯低通滤波器图像实例-Enhanced gray-scale transformation procedure 1. Enhanced gray-scale transformation procedure 2. Histogram gray-sc
邻域平均法
- 基于matlab软件，利用邻域平均法对图像高斯噪声进行去噪处理。(Based on MATLAB software, the neighborhood average method is used to denoise the image Gauss noise)
equalize_hist
- 1. 均值滤波：即线性滤波，有: a.邻域平均, b. 加权平均两种。 a. 邻域平均：用一个像素邻域平均值作为滤波结果，此时滤波器模板的所系数都取1，为保证输出图仍在原来的灰度值范围，在算得R后要将其除以系数总个数再进行赋值，对3*3的模板来说，在算得R后要将其除以系数9。 b. 加权平均：对同一尺寸的模板，可对不同位置的系数采用不同的数值，一般认为离对应模板中心像素近的像素应对滤波结果又较大贡献，所以接近模板中心的系数可比较大而模板边界附近的系数应比较小。(1. mean filter