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主要应用Matlab实现均值漂移算法在图像平滑中应用(Application of Matlab to achieve the major shift algorithm applied in image smoothing)

Matlab toolbox for data analysis

说明：  利用MATLAB中的GUI工具来制作串口通信上位机，利用上位机将数据利用绘图实时显示出来。(Use the GUI tool in MATLAB to make the serial communication upper computer, and use the upper computer to display the data in real time using the drawing.)

喷泉码lt编码过程及验证程序，希望对大家有用(lt-code)

In this programe, a four-dimensional spatiotemporal shape context descriptor is introduced and used for human activity recognition in video

求二值图的算法园程序，在指定的目录下输入图像名称，就可以在Matlab的M文件中运行得到图像的二值图，并输入图像对应的矩阵。根据轮廓下可以生成一个二值图，并把它的图像输出。(Figure 2 value seeking algorithms garden program, in the specified directory name of the input image, we can run Matlab M-file to be binary image map and the input image corresponds to the matrix. Contour may be generated according to a binary image, and to its image output.)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

MATLAB课件 包含了基本和最常用的应用函数，可以在短时间内帮你学会使用MATLAB(MATLAB LESSONS the basic functions you may use mostly )

BEMD对图像进行分解，包络构造采用Delaunay三角剖分和三次插值，得到分解的结果。 输入：灰度bmp图像 输出：imf1 imf2 imf3 残差(BEMD image decomposition, the envelope structure using Delaunay triangulation and cubic interpolation, the result of decomposition. Input: greyscale bmp image output: imf1 imf2 imf3 residuals)

BEC_decode ldpc and BEC channel