ellipticalFourierDescriptors

Gerar ícone apartir da imagem original

说明：  可计算关联维数，设置分形的参数，判断混沌状态(Calculate the correlation dimension, fractal parameters set to determine chaos)

说明：  偏最小二乘法的概述以及MatLAB的程序，非常详细！(An overview of partial least-squares method, as well as MatLAB procedures in great detail!)

《MATLAB图像处理实例详解》源代码 第二章( MATLAB image processing example explanation Source Code Chapter II)

or a thorough description of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996. Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems. In that sense, it is also illustrated that the H2 norm is smooth in the space of the system parameters, whereas the Hinf norm is non-smooth locally Lipschitz (since it is a min-max problem, thus prone to the waterbed effect ).

这是模板匹配SSD的源代码，用MATLAB编写(This is template matching SSD source code, using MATLAB to prepare)

利用matlab自带函数写的细胞分割的程序，细胞分割的Matlab代码(MATLAB code by zhao long66666666)

It is related to image processing

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

用帧差法实现视频内运动物体的捕捉与检测，可自行添加视频文件(Using Frame Difference Method to Realize the Capture of Moving Objects in Video)