HMM

一个很好的matlab图像处理资料，希望对大家有帮助(A good matlab image processing information, we want to help)

说明：  求解分形维数，采用功能函数法，很方便，从而很好的对分形几何进行分析(Solving the fractal dimension, function by function, it is convenient to a good analysis of fractal geometry)

主要用于基于matlab的图像处理，如图像增强、边缘检测、图像变换等(Mainly used for based on the matlab image processing, such as image enhancement, edge detection, and the image transformation, etc)

当空间调制系统传输5bits信息时，采用8QAM，16QAM调制方式的比较。(When the spatial modulation 5bits information transmission system, the use of 8QAM, 16QAM modulation of the comparison.)

此代码是基于matlab的代码，包含了图像金字塔，矩特征，边沿检测，斑点检测，角点检测，融合技术，图像去噪，车牌识别等等常用的一些图像处理技术！(This code is based on the matlab code, including the image of Pyramid, moment feature, edge detection, blob detection, fusion, corner detection, image denoising, license plate recognition and so on some commonly used image processing technology!)

说明：  MATLAB6.0数学手册，可以帮助大家学习MATLAB6.0中有关数学计算方面的知识。(MATLAB6.0 mathematics manuals that can help them to learn MATLAB6.0 mathematical calculations related to knowledge.)

matlab 实现arnold 图像置乱(matlab arnold)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

Principal Components Analysis (PCA) is used to compress data in such a way that the least information is lost. It does so by truncating data and thereby leaving out the data which is of the least importance to the information stored in the data. This PCA process is called dimensionality reduction,

说明：  KINECT軟件特定測試與範例，利用MEX FUNCTION結合Cpp檔加速效率(KINECT software testing and specific examples, the use of MEX FUNCTION acceleration efficiency with Cpp file)