Description: 本文提出一种用于独立成份分析(ICA)的特征选择滤波方案用于改善ICA算法对关键独立成份(SOI)的分离和提取,关键独立成份在其信号样本数据的空间分布上具有一定特征. 本文以平滑滤波为例,表明加入此类特征滤波的ICA算法可以改善对于视觉功能区等平滑图象信号的提取. 因此, 这种特征滤波技术在估计具有平滑特性的脑功能成像方面具有潜在的应用价值.-for Independent component analysis (ICA) feature selection filtering program for the improvement of ICA algorithm independent of the key ingredients (SOI), the separation and extraction, the key element in its independent signal sample data on the spatial distribution of certain characteristics. This paper smoothing filter as an example, table membership in such features filtering ICA algorithm can improve visual function areas smoothing image signal extraction. Therefore, this feature filtering technology is estimated at smoothing properties of brain imaging have potential value. Platform: |
Size: 81179 |
Author:周周 |
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Description: 本文提出一种用于独立成份分析(ICA)的特征选择滤波方案用于改善ICA算法对关键独立成份(SOI)的分离和提取,关键独立成份在其信号样本数据的空间分布上具有一定特征. 本文以平滑滤波为例,表明加入此类特征滤波的ICA算法可以改善对于视觉功能区等平滑图象信号的提取. 因此, 这种特征滤波技术在估计具有平滑特性的脑功能成像方面具有潜在的应用价值.-for Independent component analysis (ICA) feature selection filtering program for the improvement of ICA algorithm independent of the key ingredients (SOI), the separation and extraction, the key element in its independent signal sample data on the spatial distribution of certain characteristics. This paper smoothing filter as an example, table membership in such features filtering ICA algorithm can improve visual function areas smoothing image signal extraction. Therefore, this feature filtering technology is estimated at smoothing properties of brain imaging have potential value. Platform: |
Size: 80896 |
Author:周周 |
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Description: The bilateral filter is a nonlinear filter that does spatial averaging without smoothing edges. It has shown to be an effective image denoising technique. It also can be applied to the blocking artifacts reduction. An important issue with the application of the bilateral filter is the selection of the filter parameters, which affect the results significantly. Another research interest of bilateral filter is acceleration of the computation speed. Platform: |
Size: 33792 |
Author:liu |
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Description: 首先介绍了图像中噪声的产生及与图像信号相关的噪声的分类，然后分别讨论了用于图象平滑去噪的空间域平滑处理：高斯滤波，超值像素滤波、中值滤波，和频率域平滑处理：理想低通滤波和Butterworth低通滤波处理。继而介绍了各种处理方法的程序实现，并对各种方法的去噪性能进行了比较。-this program introduce the generation ofimage noise and associated noise classification with the image signal , and then discussed separately for the spatial domain image denoising smoothing: Gaussian filtering, pixel value filtering, median filtering, and frequency of domain smoothing: an ideal low-pass filter and Butterworth low-pass filtering. Then describes the procedures for implementation of various treatment methods, and de-noising performance of various methods were compared. Platform: |
Size: 4809728 |
Author:YEBIQING |
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Description: 补充上次的空域滤波平滑法，这是模板滤波法和中值滤波法-Added the last spatial filter smoothing, which is the template filtering and median filtering method Platform: |
Size: 6144 |
Author:亮 |
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Description: 均值滤波是在空间域对图象进行平滑处理的一种方法，易于实现，效果也挺好。此外，本资料还讲了中值滤波。-Mean filter is a spatial smoothing of the image processing method and easy to implement, the effect is also quite good. In addition, the data also speak of the median filter. Platform: |
Size: 2048 |
Author:高金伟 |
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Description: FFT Filters provide precisely controlled low- and high-pass filtering (smoothing and sharpening, respectively) using a Butterworth characteristic. The image is converted into spatial frequencies using a Fast Fourier Transform, the appropriate filter is applied, and the image is converted back using an inverse FFT Platform: |
Size: 8192 |
Author:akash |
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Description: 利用vc实现对图像的各种平滑滤波处理，如空间滤波，频域滤波-Vc achieve a variety of smoothing filter for image processing, such as spatial filtering, frequency domain filtering Platform: |
Size: 24576 |
Author:张可 |
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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: 1. image degradation by salt and pepper noise
2. noise removing by median filter
3. image smoothing by averaging filter
4. Max and Min filters implementation
-1. image degradation by salt and pepper noise
2. noise removing by median filter
3. image smoothing by averaging filter
4. Max and Min filters implementation
Platform: |
Size: 93184 |
Author:mohammed |
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Description: 主要关于平滑空间滤波例如平滑线性滤波器和统计排序滤波器方法的讲解及相关代码。-Mainly on smoothing spatial filtering such as smoothing linear filters and statistical sorting filter method to explain and related code 。 Platform: |
Size: 1289216 |
Author:小陈 |
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Search - smoothing spatial filter