基于汽车转向几何学建立的MATLAB横向控制算法

metodos de jacobi by davo

进行图像分类时，图像分割对图片4*4分块，求主要颜色特征，提炼知识。(Image classification, image segmentation of the picture 4* 4 sub-blocks, and the main color characteristics, refining knowledge.)

目前，脉搏波是非常关键的判定心血管问题的方法，这里提出了很多关于测量的方法(At present, the pulse wave is critical to determine the cardiovascular problems, many presented here on the measurement method)

图片中时钟时间识别的matlab GUI程序，程序不通用，个别图片可以。(A gui program of recognizing time is realized by Matlab in a picture.)

用LEVY法对系统进行参数辨识，利用实频响应与虚频特性来估计过程的传函。(LEVY method using the system parameter identification, the use of real and imaginary frequency characteristics of frequency response to estimate the process of transfer function.)

本文通过比较第一代和第二代小波算法特点,引入二代小波提升结构的概念,提出了一种基于二代小波提升结构的快速图像边缘检测算法 对三次B样条小波基实现提升格式,通过计算大尺度下分解子图的模值和幅角来确定边缘 经过实验比较,能比经典的边缘检测算法得出更精确的边缘图像,同时通过与基于第一代小波算法的边缘检测比较,基于二代小波提升格式的边缘检测算法计算更快速,更高效。(In this paper, by comparing first-and second-generation wavelet algorithm features, the introduction of second generation wavelet to enhance the concept of structure, a second generation wavelet-based structure to enhance the rapid image edge detection algorithm on the three B-spline wavelet lifting scheme to achieve through Calculation of large-scale mold subgraph decomposition value and increase the edge angle to determine the experimental comparison, than the classical edge detection algorithm to draw a more accurate edge image, at the same time with the first generation of wavelet-based edge detection algorithm comparison, based on the Second generation wavelet lifting scheme edge detection algorithm is faster and more efficient.)

信号处理中的积分运算，以位移、速度和加速度为例，适用于matlab。(Signal processing integration operation of displacement, velocity and acceleration, for example, apply to matlab.)

去模糊的几种常见方法的matlab实现！(Several common methods to blur!)

Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is obtained by subtracting the CSF region CSF combining MS region. By applying median filter and thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its limitations are discussed.

此代码应用于图像分割，是基于类间方差的大津法求分割阈值(This code applies to image segmentation is based on the variance between two classes of Otsu threshold segmentation uated)