Description: 车牌识别C++Builder代码，首先要把车牌图像灰度化，接着对图像进行中值滤波进行初步降噪，下一步进行Sobel纵向边缘检测，即增强车牌纵向边缘，边缘检测后进行二值化处理，此时车牌区域特征得到进一步加强，但同时又加强了背景中的部分噪声，所以再对其腐蚀，然后定位及截取车牌，最后对车牌进行二值化。
-LPR C Builder code, first and foremost, we should plates gray, Then the image median filtering for noise reduction preliminary, the next step for vertical Sobel edge detection, strengthening plates vertical edge, edge detection after binarization, then plates regional identity can be further strengthened, But at the same time strengthen the part of the background noise, the so-corrosion, and then positioning and interception of a registration number, Finally, the plates for the value of two. Platform: |
Size: 23310 |
Author:linvg |
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Description: 车牌识别C++Builder代码，首先要把车牌图像灰度化，接着对图像进行中值滤波进行初步降噪，下一步进行Sobel纵向边缘检测，即增强车牌纵向边缘，边缘检测后进行二值化处理，此时车牌区域特征得到进一步加强，但同时又加强了背景中的部分噪声，所以再对其腐蚀，然后定位及截取车牌，最后对车牌进行二值化。
-LPR C Builder code, first and foremost, we should plates gray, Then the image median filtering for noise reduction preliminary, the next step for vertical Sobel edge detection, strengthening plates vertical edge, edge detection after binarization, then plates regional identity can be further strengthened, But at the same time strengthen the part of the background noise, the so-corrosion, and then positioning and interception of a registration number, Finally, the plates for the value of two. Platform: |
Size: 23552 |
Author:linvg |
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Description: 维纳滤波处理源代码，图像处理的时候肯定要用到，也叫做自适应滤波！！1-Wiener filter source code, image processing time certainly have to use, also known as adaptive filtering! ! 1 Platform: |
Size: 1024 |
Author:柳杨 |
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Description: 实现图形图像的平滑处理，可对８位和２４位的图像进行处理，产生噪声用到
了随机噪声和椒盐噪声，处理用到噪声消除法，领域平均法和中值滤波法～-Realize smooth handle graphics images can be 8-bit and 24-bit image processing, resulting in noise using a random noise and salt and pepper noise, use noise reduction treatment method, the field average and median filtering method ~ Platform: |
Size: 129024 |
Author:沧海客 |
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Description: 中值滤波是常用的降噪算法，它可以保留比较尖锐的边界，但是却容易模糊图象的细节。尽管已经有一些改进
算法，但效果并不十分理想。文章介绍了一种保细节中值滤波算法，采用了多尺度多方向的窗口，根据图象各部分特性自
适应地选择窗口进行中值滤波。实验结果证明，文章的算法优于其他几种常用的中值滤波算法。
-Median filter is commonly used in noise reduction algorithm, which can retain relatively sharp boundary, but the details easy to fuzzy images. Despite some improved algorithm, the effects are not very good. In this paper, the details of a security filtering algorithm using the multi-scale multi-orientation of the window, according to characteristics of the various parts of the image selection window for adaptive median filter. The experimental results proved that the article is better than several other commonly used algorithm of median filtering algorithm. Platform: |
Size: 227328 |
Author:陈卿 |
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Description: Recognition of visual patterns and characters are independent of position, size, and orientation in the visual field has been the goal of much recent research. The method presented in this paper meets all these condition. An off-line signature matching system which is based on Hu moment invariant method is presented here. Signature matching uses a four - steps process. In first step the scanned or captured color images are initially converted to grey scale. Second step performs normalization and digitization of the original signature. Noise reduction (also called “smoothing” or “noise filtering”) is one of the most important processes in image processing is performed in third step and then moment invariant vectors are obtained in the last step. Signature matching system is implemented using MATLAB and ability of the system can be increased by using additional features in the input data set. Platform: |
Size: 8192 |
Author:shivshankar mishra |
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Description: 构造噪声图像、设计各种滤波器来进行图像的降噪滤波处理，并通过主观和客观评价方法来对滤波方法进行比较分析-Construction noise images, the design of various filters to the noise reduction filter for image processing, and through subjective and objective evaluation methods to a comparative analysis of the filtering method Platform: |
Size: 11264 |
Author: |
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Description: MWMP是一个运行MATLAB下面的多小波软件包，它是目前功能比较全面的一个多小波软件包，能够用于科学研究例如图像压缩、信号降噪等。它提供了一些比较常见的单小波与多小波滤波器，也提供了多小波的一些常用的预滤波算法，并且，只要修改coef.m文件，就可增加新的滤波器组，同时，修改文件coef_prep.m文件，可增加新的预滤波方法。-MWMP is the following one to run MATLAB package of multi-wavelet, which is currently the more comprehensive package of more than one wavelet can be used for scientific research such as image compression, signal noise reduction. It provides some of the more common single-wavelet and multiwavelet filters, also provides some of the commonly used multi-wavelet pre-filtering algorithm, and, as long as the changes coef.m file, you can add a new filter at the same time, modify the file coef_prep.m file, increase the new pre-filtering method. Platform: |
Size: 46080 |
Author:shenyang |
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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: SUSAN角点检测算法经典文献
This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.-This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results. Platform: |
Size: 828416 |
Author:nana |
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Description: SURF角点检测
This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.-This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results. Platform: |
Size: 2585600 |
Author:nana |
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Description: 去噪处理是图像处理中较为重要的环节。中值滤波是抑制图像的噪声的一个行之有效的办法，选择适当大小的中值滤波窗口可以在最大限度的保持图像精度的基础上去除图像噪声。本文在对中值滤波去噪算法的适用性特点进行研究的基础上，进一步研究了中值滤波去噪算法，同时对其他去噪算法，如均值滤波、低通滤波的小波变换进行分析研究，并做了相应的比较。-Noise reduction is one of the most important parts of image processing. Median filtering is a proven way to remove image noise. To select the appropriate size of the window can maximize to remove image noise on the basis of maintaining the accuracy of the image. On the basis of investigating the application of the median filtering algorithm denoising characteristics, we do further study of the median filtering algorithm denoising. At the mean time we analyzed the mean filtering and wavelet transform algorithm, and compared them. Platform: |
Size: 520192 |
Author:王黎 |
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Description: 运用中值滤波的方法将图像中的噪声去除，使得获取的图像噪声较少。-Median filtering method using the image of the noise reduction, making for less image noise. Platform: |
Size: 2048 |
Author:jiang |
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Description: 可以编辑图像，实现各种图像处理功能，包括滤波、降噪等-You can edit the image, to achieve a variety of image processing functions, including filtering, noise reduction Platform: |
Size: 151552 |
Author:liu |
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Description: 详细说明：
读入图像，对于图像进行高斯高通以及低通滤波，显示结果，与原图进行对比-Detail: ch5_1_1: image gray-scale linear transformation (5.1.1) ch5_1_2: image grayscale piecewise linear transformation (5.1.1) ch5_1_3: using the transfer function of the number of forms of dynamic range compression (5.1. 1) ch5_1_4: histogram equalization (5.1.2) ch5_1_5: histogram specification (5.1.2) ch5_2_1: neighborhood average linear smoothing filter method to achieve noise reduction (5.2.2) ch5_2_2: winner filtering method to achieve noise reduction (5.2.2) ch5_2_3: median filtering to achieve noise reduction (5.2.2) ch5_2_4: linear sharpen filter (5.2.3) ch5_2_5: Rui filtering nonlinear (5.2. 3) ch5_3_1: Buterworth low-pass filter (5.3.1) ch5_3_2: Buterworth high-pass filter (5.3.2) ch5_4_1: gray-scale layering of color images to achieve (5.4.2) ch5_4_2: spatial domain gray level- the color transform, image enhancement (5.4.2) ch5_4_3: Mean Filter for each color plane true color image filtering (5.4.3) ch5_5_1: noise image generation (5.5.4) ch5_5_2: the target image generat Platform: |
Size: 2347008 |
Author:王小龙 |
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Description: 双边滤波器程序，该算法能够对图像进行降噪的同时很好的保留边缘信息，从而为后续的边缘特征点提取排除了噪声的干扰-Bilateral filter program, the algorithm can image noise reduction while well preserved edge information, so as to follow the edge of the feature point extraction rule out interference noise Platform: |
Size: 119808 |
Author:sunming |
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Description: 基于形态学的权重自适应图像去噪；通过串并联的滤波降噪对比图，说明并联降噪的优越性-Heavy adaptive image denoising based on morphology right noise filtering by series-parallel comparison chart, show the advantages of parallel noise reduction Platform: |
Size: 1236992 |
Author:孙嫱 |
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Search - NOISE REDUCTION IMAGE FILTERING