MATLAB

说明：  基于区域生长,(区域增长)的目标分割方法,简单实用,易上手,m语言编写,易懂易用,没有调用内部函数,方便以后改写为c语言代码,请尽情享用(Based on regional growth, (regional growth) of the object segmentation method is simple and practical易上手, m language easy to understand and use, there is no call to internal function, convenient to rewrite the future for the c language code, please enjoy)

说明：  傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function. (d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)

采用多孔trous算法matlab代码，变了好长时间，大家可以参考一下(porous trous algorithm using Matlab code, changed a good long time, we can take a look)

该程序主要利用快速傅里叶算法将振动信号的时域转化成频域信息，得出频谱进行分析。(The program mainly using fast Fourier algorithm time domain vibration signal converted into the frequency domain information, obtain spectral analysis.)

一个改进的自适应canny算法，该方法采用改进的开关型中值滤波器对图像做去噪工作，再把整幅图像分割为若干子图像，最后在充分考虑全局以及各子图像的边缘梯度信息后，自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and the sub-images edge information.)

同态滤波器 作用：消除不均匀照度的影响, 增强图象细节。(Filter function with the state: to eliminate the impact of uneven illumination, enhanced image detail.)

This program contains some basic image processing things, such as: 256 colors to grayscale, contrast stretching, anti-color, brightness change, etc.

这是一种对TV模型算法的一种快速改进算法，C++实现，在Code::Blocks下编译成功(This is a TV model algorithm for a fast algorithm, C++ achieve, in the Code :: Blocks compile successfully under)

说明：  吴恩达第五周作业。学习算法分两部分进行理解，第一部分是根据code对算法进行综述，第二部分是代码(The learning algorithm is divided into two parts, the first part is to summarize the algorithm according to the code, the second part is the code)

目标分类（流形学习slle+支持向量机svm）(Target classification (manifold learning slle+ support vector machine svm))