Description: 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. Platform: |
Size: 270989 |
Author:郝光 |
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Description: 提供了Lena原始图，并对其加入斑点噪声后用中值、均值进行不同窗口和邻域的滤波。-provided the original map, and its accession to speckle after the adoption of value, Mean different window and Neighborhood filtering. Platform: |
Size: 52118 |
Author:zhangyang |
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Description: 提供了Lena原始图，并对其加入斑点噪声后用中值、均值进行不同窗口和邻域的滤波。-provided the original map, and its accession to speckle after the adoption of value, Mean different window and Neighborhood filtering. Platform: |
Size: 52224 |
Author:zhangyang |
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Description: 主要介绍了图像平滑处理，方法有经典的邻域滤波，中值滤波，还有相应的添加噪声的方法，-Mainly introduce the image smoothing method has the classic neighborhood filtering, median filtering, as well as the corresponding method to add noise, Platform: |
Size: 271360 |
Author:doudou |
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Description: 邻域滤波程序，可以有效地去除图像噪声，可以进行图像的预处理-Neighborhood filtering process is an effective way to remove the image noise, image pre-processing can be carried out Platform: |
Size: 1024 |
Author:李天涯 |
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Description: 所给程序中，先给出一副原始图像，在其中添加椒盐噪声，然后用几种方法进行平滑滤波，包括邻域均值法，邻域中值滤波和K邻域均值滤波，其中的K邻域均值滤波所选掩膜为3*3，K值取5，图片选用board.ti。-Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including the neighborhood average method, o-field value filtering and K neighborhood mean filter, where K o domain mean filter mask for the selected 3* 3, K value of taking five, picture selection board.ti. Platform: |
Size: 136192 |
Author:hanyantao |
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Description: 源码1：实现对图像平滑处理。比如噪声消除(二什图像的黑白点噪滤除；消除孤立黑像素点)；邻域平均
法；中值滤波；加噪等。
源码2：对图像进行阈什分割和轮廓提取。
源码3：进行图像的合成。
源码4：图像的变换域处理
源码5：锐化及边缘检测
源码6：灰度变换
motiondetect1：基于OpenCV 运动检测(摄像头或.avi)-Source 1: Implementation of image smoothing. Such as noise reduction (2 points, even black and white image noise filtering eliminate isolated black pixels) neighborhood average median filter adding noise and so on. Source 2: What threshold image segmentation and contour extraction. Source 3: Synthesis of the image. Source 4: Image 5 Transform Domain Source: sharpening and edge detection Source 6: The gray-scale transformation motiondetect1: OpenCV-based motion detection (the camera or the. Avi) Platform: |
Size: 7205888 |
Author:stone |
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Description: 基于噪声检测的中值滤波，先通过邻域计算检测是否为噪声，再进行开关中值滤波，对于被判断为噪声的像素不再参与其他像素的中值滤波，能够有效滤除噪声并且保留细节较好-Noise Detection Based on median filtering, first calculated by testing whether the neighborhood noise, then the switching median filter for noise pixels are judged to no longer participate in other pixel median filter can effectively filter noise and keep the details well Platform: |
Size: 1024 |
Author:chen |
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Description: 中值滤波的基本原理是把数字图像或数字序列中一点的值用该点的一个邻域中各点值的中值代替，让周围的像素值接近的真实值，从而消除孤立的噪声点。-The basic principles of the median filter is the value of digital image or sequence of numbers in a neighborhood of the point value of the median instead, so that the surrounding pixel values close to the true value, thereby eliminating isolated noise points. Platform: |
Size: 10240 |
Author:kristena |
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Description: 边缘滤波及检测，利用二个低通邻域平均模板（3×3和9×9）对一幅图象进行平滑，利用一个低通模板对一幅有噪图像（GAUSS白噪声）进行滤波 ，比较领域平均滤波和中值滤波对噪声滤波效果的影响。-Edge filtering and detection, the use of two low-pass neighborhood average template (3 × 3 and 9 × 9) of an image smoothing filtering template, the use of a low-pass noise image (the GAUSS white noise) On a piece ofthe field of comparative average filtering and median filtering for noise filtering effect. Platform: |
Size: 197632 |
Author:baiyan |
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Description: wiener2图像滤波小程序。维纳滤波理论在图像处理中有着广泛的应用。-wiener2 lowpass filters an intensity image that has been degraded by constant power additive noise. wiener2 uses a pixel-wise adaptive Wiener method based on statistics estimated from a local neighborhood of each pixel. Platform: |
Size: 75776 |
Author:章鱼 |
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Description: 图像中值滤波，用matlab实现了3×3邻域中值滤波，以及实现5×5十字形中值滤波。-Image filtering, using matlab to achieve the 33 neighborhood median filtering domain, and the realization of the value of 55 cross filtering. Platform: |
Size: 283648 |
Author:sxw |
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Description: 提供了Lena原始图,并对其加入斑点噪声后用中值,均值进行不同窗口和邻域的滤波,-Provide Lena original figure, and to join with the median after speckle noise, the mean of different window and neighborhood filtering, Platform: |
Size: 51200 |
Author:pfopositions |
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Description: 基于边界邻域最大值滤波的快速图像去雾算法(Fast image based on the maximum boundary neighborhood filtering algorithm to fog) Platform: |
Size: 4072448 |
Author:yyyyyy
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Search - neighborhood filtering