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VisualClutterJune07
说明： 本程序使用MATLAB编程用于计算图片的视觉混乱度(Calculate the visual clutter of pictures)
- 2020-12-02 16:59:27下载
- 积分：1
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程序
PIVlab - 时间分辨粒子图像测速（PIV）工具：
一种基于GUI的工具，用于预处理，分析，验证，后处理，可视化和模拟PIV数据。
使用MATLAB网络研讨会进行人脸识别代码：
使用MATLAB在线讲座的人脸识别中的主要演示文件。
Gabor特征提取：
该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。
主成分分析：
用于特征提取；
链码：
基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool:
A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data.
Using MATLAB webinar for face recognition code:
The main demo file is used in MATLAB online lectures for face recognition.
Gabor feature extraction:
The program generates a custom Gabor filter bank and uses them to extract image features.
Principal component analysis:
For feature extraction;
Chain code:
Surface contour description of Freeman based on MATLAB)
- 2021-03-30 16:59:09下载
- 积分：1
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ex_2
精通MATLAB图像处理第2章所有的程序代码或实例代码(Proficient in MATLAB image processing Chapter 2 program code or code examples)
- 2013-05-21 15:05:39下载
- 积分：1
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压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法 DAL
压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation，
which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)
- 2011-04-25 10:19:38下载
- 积分：1
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StereoVision_SSD
本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。
这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。
main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘
制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数
y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。
从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions.
The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD.
main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters
y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data.
From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds.
)
- 2011-01-25 19:06:47下载
- 积分：1
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Digital-Image-Processing-writed-by-Gonzalez-secon
Digital Image Processing writed by Gonzalez second edition of the Chinese version
- 2012-04-05 23:13:38下载
- 积分：1
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NLTV_WI_v1
非局部全变分小波域图像修复代码，实现算法WAVELET INPAINTING BY NONLOCAL TOTAL VARIATION，Xiaoqun Zhang，Tony F. Chan，Inverse Problems and Imaging，2010,4（1）(Non-local full variational wavelet domain image repair code algorithm WAVELET INPAINTING BY NONLOCAL TOTAL VARIATION Xiaoqun Zhang, Tony F. Chan, Inverse from and Imaging, 2010,4 (1))
- 2012-12-06 21:00:50下载
- 积分：1
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patchwork_wangying
利用matlab实现Patchwork算法，包括各种处理攻击(Using matlab Patchwork algorithm, including the attack of various treatment)
- 2012-03-19 16:44:43下载
- 积分：1
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Segmentation-assess-Benchmark
伯克利图像小组提出来的图像分割评价指标：边界误差。(Evaluation of image segmentation. Image: Berkeley group boundary error.)
- 2015-04-18 15:22:48下载
- 积分：1
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m_map
说明： m-map工具箱，可以帮助画图，比如世界地图的背景(M-map toolbox, can help draw pictures, such as the background of the world map)
- 2021-03-21 21:09:16下载
- 积分：1
