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Description: matlab矩阵处理例程。A matrix processor, Matx_Proc() is developed which can be used
to process and edit matrices and state space models, and perform
various kind of matrix analysis in a visible way. -Matlab matrix handling routines. A matrix processor, Matx_Proc () is developed which can be used to pr workflow and edit matrices and state space models, and perform various kind of matrix analysis in a visible way.
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Size: 67584 |
Author: mr.dang |
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Description: ％电影动画：
％1.首先调用moviein函数对内存初始化.创建一个足够大的矩阵来容纳一系列指定的图形（帧）
％2.调用getframe函数生成每一帧.该函数返回一个矢量，利用这个矢量创建一个电影动画矩阵
％3.调用movie函数按照指定速度进行指定次数的播放
％例子2：演示如何实现快速傅立叶变换（exp(j*2*pi/n)）的可视化过程- Movie animation: 1. First transfers the moviein function to the
memory initialization Founds graph which an enough big matrix holds a
series of assigns (frame) % 2. Transfers the getframe function to
produce each This function returns to a vector, uses this vector to
found a movie animation matrix % 3. Transfers the movie function
according to assign the speed to carry on assigns the number of times
the broadcast
Example 2: How demonstrates realizes fast Fourier transforms
(exp (j*2*pi/n)) the visible process
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Size: 1024 |
Author: 龚力 |
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Description: 提出了一种离散小波变换域实现图像水印的方法。这种算法充分利用小波变换的特点,把原始图像及水印图像塔式分解,在多分辨率分解后的相同的频段来嵌入水印信息。该方法也利用了人眼视觉特性,算法简单而有效。实验证明,该算法较好地解决了水印不可见性与鲁棒性之间的矛盾,对常见的水印攻击都有较强的鲁棒性。-presents a discrete wavelet transform domain image watermarking method. This algorithm using wavelet transform characteristics, the original image and the watermark image tower decomposition, Multiresolution decomposition in the same frequency band to the embedded watermark. The method has also been used HVS, the algorithm is simple and effective. Experiments show that the algorithm can solve the watermark is visible with the robust nature of, common to have more attacks watermark robustness.
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Size: 151552 |
Author: yy |
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Description: DCT水印源码
整理自lufei的水印代码
不可见数字水印-DCT watermark since finishing lufei source code is not visible watermark digital watermarking
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Size: 1024 |
Author: 不羁的风 |
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Description: matlab图像配准 红外可见光图像配准的详细方法 -matlab Visible Infrared image registration image registration detailed methodology
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Size: 4096 |
Author: wang |
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Description: ％ This program calculates Dilution of Precision with respect to a GPS *
％ receiver given its Cartesian ECEF position and the positions of four or *
％ more visible GPS satellites. It is a validation of the DOP algorithm and *
％ contains reference positions for which the DOP results are known. *
- This program calculates Dilution of Precision with respect to a GPS* receiver given its Cartesian ECEF position and the positions of four or* more visible GPS satellites. It is a validation of the DOP algorithm and* contains reference positions for which the DOP results are known.*
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Size: 4096 |
Author: huguangfeng |
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Description: 线性方程的解法,实现对运动目标的检测,针对可见光图像弱小目标检测中的背景抑制和去噪问题,提出了奇异值分解(Singular Value Decomposition,SVD)-Linear equations, to achieve the detection of moving targets, in view of the weak target detection in visible light images in the background suppression and de-noising problem, a SVD (Singular Value Decomposition, SVD)
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Size: 1024 |
Author: ty3r |
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Description: Range imaging offers an inexpensive and accurate means for
digitizing the shape of three-dimensional objects. Because most
objects self occlude, no single range image suffices to describe the
entire object. We present a method for combining a collection of
range images into a single polygonal mesh that completely describes
an object to the extent that it is visible from the outside.
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Size: 471040 |
Author: 李叶林 |
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Description: matlab混沌工具箱，包括C_C方法，wolf计算最大Lyapunov指数法等，不同于陆振波的，本工具箱中的函数均可见，完全免费版本-Chaos matlab toolbox, including C_C methods, wolf calculate the largest Lyapunov exponent method, etc., unlike the陆振波, the toolbox function are visible, completely free version
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Size: 684032 |
Author: 侯站 |
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Description: dct based visible watermarking algorithm
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Size: 53248 |
Author: shartah |
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Description: wavelet based watermarking with dwt2 function in matlab it s an implementaton of an ieee paper.its a visible watermark it calculates the peak signal to noise ratio and the mean square error
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Size: 1024 |
Author: peed |
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Description: 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.
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Size: 482304 |
Author: 媛媛 |
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Description: 基于小波分析理论实现的红外图像与可见光图像融合-Based on wavelet analysis theory of the realization of the infrared image and visible image fusion
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Size: 18432 |
Author: 骆小龙 |
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Description: 利用MATLAB软件完成基于离散余弦变换（DCT）的可见水印算法，实现可见水印的嵌入-discussed the mathematical manipulation method of visible digital watermark and realized the visible digital watermarking inserting by completing the watermark algorithm，which based discrete cosine transformation (DCT) with the MATLAB software
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Size: 99328 |
Author: 朱建伟 |
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Description: 基于自适应的PCNN(神经耦合网络)融合,对图像的融合起到了很好的作用,是像素级的融合.尤其对于可见光和红外图像有很好的融合效果.-It is based upon the PCNN fusion which has a great effect on image fusion,especially when dealing with infrared picture and visible light picture.
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Size: 2048 |
Author: |
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Description: Motion Tracking
=== === ===
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.-Motion Tracking
===============
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.
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Size: 36511744 |
Author: gobsy |
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Description: SKYPLOT for a given receiver position
Y=skyplot(X,PRN,C,O) draws the skyplot for the receiver position. The
required inputdata for the calculation of the skyplot X is N-by-3*M matrix,
where N are the timesteps and M is the number of the Satellites. The 1st
colomn is the elevation, the second colomn the azimuth and the 3rd colomn
is the geometric distance between sv and rx [° ° m].
The output Y is the same matrix als X, the only difference is that the
satellites below the cutoffangle are marked (number 9999 is written instead
the Elevation, Azimuth and distance.
The numbers of the satellites are listet in the voctor PRN (M-by-1), C is
the cutoffangle for the satellite elevation (default = 5°). The skyplot
displays only satellites who are visible for more then 10 times.- SKYPLOT for a given receiver position
Y=skyplot(X,PRN,C,O) draws the skyplot for the receiver position. The
required inputdata for the calculation of the skyplot X is N-by-3*M matrix,
where N are the timesteps and M is the number of the Satellites. The 1st
colomn is the elevation, the second colomn the azimuth and the 3rd colomn
is the geometric distance between sv and rx [° ° m].
The output Y is the same matrix als X, the only difference is that the
satellites below the cutoffangle are marked (number 9999 is written instead
the Elevation, Azimuth and distance.
The numbers of the satellites are listet in the voctor PRN (M-by-1), C is
the cutoffangle for the satellite elevation (default = 5°). The skyplot
displays only satellites who are visible for more then 10 times.
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Size: 2048 |
Author: Anuron |
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Description: this algorithm to do visible watermarking
in this the step by step procedure is explained cleary to do visible watermarking in matlab-this is algorithm to do visible watermarking
in this the step by step procedure is explained cleary to do visible watermarking in matlab
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Size: 56320 |
Author: vicky |
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Description: 这个程序可以计算给定点处的小区信号范围覆盖。-is program computes a map of visibility from a selected point on a topography. It has been written to help the search for radio relay best location. Because it considers only direct line of sight, it gives a good estimation for possible radio link for short distances only (less than 10 km), neglecting curvature of the Earth, Fresnel zone and atmospheric refraction on radio waves propagation. The program computes the relative elevation angle of the mask for each point (the angle is null or negative if the point is visible).
The function needs a digital elevation model Z and associated (X,Y) vectors or matrices of coordinates (same unit as Z), position of the point (X0,Y0), the antenna height H0 (for instance 4 m), and the hypothetic antenna height Ha on each topography points (for instance 3 m). When no output argument is given, the function plots a map of the results (color map of mask angles, and blank for visible points, see example screenshot).
The script is not fully optimize
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Size: 434176 |
Author: ken |
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Description: 利用拉普拉斯金字塔实现图像融合，红外与可见光融合、多聚焦图像融合-Using Laplacian pyramid for image fusion, infrared and visible light fusion, multi-focus image fusion
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Size: 64512 |
Author: xiaocai |
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