Description: 只要输入低通滤波器系数，可画有负数尺度的多尺度函数的图象-As long as the importation of low-pass filter coefficient, can be painted a negative multi-scale image scaling function Platform: |
Size: 1024 |
Author:廖云 |
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Description: 本程序是基于dicom的图像滤波，只要应用多尺度形态学滤波，应用三个模板。-This procedure is based on the DICOM image filtering, as long as the application of multi-scale morphological filtering, the application of the three templates. Platform: |
Size: 2114560 |
Author:常存喜 |
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Description: 几篇多尺度滤波的论文，最新下载的．多尺度滤波在目标跟踪中需要考虑到的-Several multi-scale filter papers, the latest download. Multi-scale filtering in target tracking in the need to take into account the Platform: |
Size: 912384 |
Author:邱雪娜 |
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Description: 多尺度图像技术指对图像采用多尺度的表达，并在不同尺度下分别进行处理，也称多分辨率技术
金字塔是一种有效的多尺度表达结构
构建高斯金字塔和拉普拉斯金字塔
高斯低通滤波器
对应高斯金字塔中相邻两层图像差的带通滤波器
-Multi-scale imaging technology refers to the image using multi-scale expression, and in different scales, respectively, for processing, also known as multi-resolution technology pyramid is an effective expression of the structure of building a multi-scale Gaussian pyramid and Laplacian pyramid, Gaussian Gaussian low-pass filter corresponding to adjacent two-story pyramid with poor image bandpass filter Platform: |
Size: 1024 |
Author:Mingruixia |
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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: gabor滤波器的matlab代码，用于在不同方位不同尺度下的图像纹理特征提取。-the code of Gabor filter,using for texture features extract under multi-orient and multi-scale. Platform: |
Size: 1024 |
Author:guomin |
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Description: 形状特征是武器装备目标识别的关键因素。针对归一化后轴夹角的特点和小波描述子多尺度描述轮廓曲
线的特性，提出一种R树索引的分层检索技术模型，在模型库空间逐级过滤出与目标相似的模板，以保证检索的效
率和准确性，并通过对军用车辆的检索实验验证了模型的有效性。-The shape features of military weapons＆equipment are the most important key factors of image
object recognition．Aiming at the characteristics of the contour-curve’S normalized rear—axes—angle and
multi—scale description of the Wavelet Descriptor，this paper pmposes a delaminating image retrieval model
by using R-tree index，which hierarchically filter the similar templates with the object pattern via the multiresolution
description techniques of the contour to eusure the system’S efficiency and precision，and the ex—
periments prove the efficiency and effectiveness by image retrieval of the vehicles． Platform: |
Size: 456704 |
Author:周二牛 |
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Description: 提出了一种基于多通道 Gabo r滤波器和 FCM聚类的图像融合新方法。该方法先利用模糊
C2均值聚类算法在多通道 Gabo r滤波器形成的特征空间上对图像进行区域分割 再对待融合图像进行多尺度小波分解 在此基础上利用 Gabo r滤波器提取高频段纹理特征构造区域相似度 ,应用区域相似度及信息量构造加权因子 ,从而得到融合图像的小波系数 最后 ,利用小波逆变换得到融合图像.-Proposed a multi-channel Gabo r filter and FCM clustering for image fusion method. The method first C2 means clustering algorithm using the fuzzy multi-channel Gabo r filter in the formation of the image feature space segmentation re fused to treat multi-scale wavelet decomposition image on this basis, the use Gabo r filter from the high frequency structural similarity region texture features, application areas and the information structure similarity weighting factor, resulting in fusion of the wavelet coefficients Finally, the inverse wavelet transform fusion image. Platform: |
Size: 458752 |
Author:guoj |
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Description: 一个快速的多尺度边缘检测算法是建造时的形象和过滤器做卷积和应用木材缺陷
图像边缘检测。
-A fast multi-scale edge detection algorithm was constructed when the image and filter do convolution and applied to the wood defect
image edge detection. Platform: |
Size: 305152 |
Author:Tina |
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Description: ACCV的一篇论文以及源代码，不是我写的只是搬运到这里而已，具体请访问论文中作者的网页。改进Harris的角点检测，主要改进在：1、是在加权模板选择了各向异性的模板代替了各向同性的高斯模板；2、选择使用多尺度滤波器对图像进行处理，使算法具有一定的多尺度特性。-This is paper with code,which published on ACCV.I m not the author of this paper.If want to know more,please vistor the home page of the author.Major improvements of this paper is focus on: 1 Using a bilateral filters insteal of the isotropic Gaussian kernel for weighted template selection 2、Using Multi-Scale filter which make the algorithm can detect the multi-scale corner in the image Platform: |
Size: 432128 |
Author:董潇健 |
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Description: 实施Felsberg的单基因过滤器。此功能适用于银行的单基因图像获得二维多尺度分析信号的过滤器。-Implementation of of Felsberg the single-gene filter. This feature applies to the bank' s single-gene images to obtain two-dimensional multi-scale analysis of the signal filter. Platform: |
Size: 3072 |
Author:王峰 |
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Description: Contourlet 变换的平移不变性在奇异性方面导致了伪Gibbs 效应。而NSCT是一种平移不变、多尺度和多分辨率的冗余变换，它对滤波器上采样再进行分析和综合滤波，这种滤波器的设计及重构易于实现，能更好地采集频率且具规律性，在图像去噪中得到了广泛的应用。-Contourlet transform translation invariance in singularity aspects led to the pseudo Gibbs effect. And NSCT is a kind of translation invariant, multi-scale and multi-resolution redundant transform, it to filter on sampling and analysis and comprehensive filtering, this kind of filter design and reconstruction is easy to realize, and can better acquisition frequency and with regularity, in image denoising has been widely used in the field. Platform: |
Size: 440320 |
Author:chen |
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Description: 用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this implementation, we considered two time series with different frequencies. The messages between high and low frequency signals are combined to improve the estimation and prediction. Platform: |
Size: 311296 |
Author:林真天 |
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Description: Leung-Malik (LM)滤波器组由48个滤波器组成-The LM set is a multi scale, multi orientation filter bank with 48 filters. It consists of first and second derivatives of Gaussians at 6 orientations and 3 scales making a total of 36 8 Laplacian of Gaussian (LOG) filters and 4 Gaussians. We consider two versions of the LM filter bank. In LM Small (LMS), the filters occur at basic scales . The first and second derivative filters occur at the first three scales with an elongation factor of 3 (i.e. and ). The Gaussians occur at the four basic scales while the 8 LOG filters occur at and . For LM Large (LML), the filt ers occur at the basic scales Platform: |
Size: 1024 |
Author:彭欣荣 |
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Description: The most widely used transform for image fusion at
multi scale is Wavelet Transform since it minimizes structural
distortions. But, wavelet transform suffers lack of shift
invariance & poor directionality. These disadvantages are
overcome by using our proposed method that is Un-decimated Discrete Wavelet Transform.-The most widely used transform for image fusion at
multi scale is Wavelet Transform since it minimizes structural
distortions. But, wavelet transform suffers lack of shift
invariance & poor directionality. These disadvantages are
overcome by using our proposed method that is Un-decimated Discrete Wavelet Transform. Platform: |
Size: 2048 |
Author:Naga Kishore |
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Search - multi scale filter