SOC-and--SOH-of-Li-ion-Batteries

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

说明：  使用matlab工具箱进行的图像配准，需提取特征点来实现配准(Using matlab toolbox for image registration, extraction of feature points needed to achieve alignment)

图像处理中用于边缘检测图像的边缘连接和边缘拟合的代码(link edge)

这是一个用matlab开发的程序，用小波理论来完成图像边缘检测的，程序可用。(This is a procedure developed by matlab, using wavelet theory to complete the image edge detection, the program can be used.)

利用自编的mean shift对图像进行均值漂移分割。(The mean shift use self mean shift image segmentation.)

sprites communication to windows in unix sys

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

在rgb颜色空间实现的单高斯模型，用于目标检测(In rgb color space to achieve a single-Gaussian model for target detection)

动画框画直线，易语言写的图形图像编程，很好的参考。(Animation frame painting line, easy graphic language programming, a good reference.)

说明：  利用matlab实现基于帧间差分的运动目标检测(Moving target detection based on inter frame difference using MATLAB)