snake_gvf_demo

基于mfc的车辆检测程序，利用帧间的变化来检测，适合初学图像的同学学习(Mfc-based vehicle detection program to detect changes in the use of frames, suitable for beginners to learn the image of the students)

说明：  全景图像拼接的源代码，可将多幅照片拼接为周视全景图像，很不错。(Panoramic image mosaic of the source code, multiple photos can be spliced for the week as the panoramic image, very good.)

文本变图片源码例程,程序将文本转换到字节集数据，再取出每个字节数值进行计算后画到画板上。(After the text becomes image source routines , the program will convert the text to a set of bytes of data , and then remove each byte value is calculated to draw on the drawing board .)

基于SVM与人工神经网络的车牌识别算法，使用了OpenCV的图像处理函数，在VS2013 + OpenCV 2.4.9平台上实现(SVM algorithm based on license plate recognition and artificial neural network, using OpenCV image processing function, implemented on VS2013+ OpenCV 2.4.9 platform)

使用4阶龙格库塔定理计算一阶微分方程组，方程组有3个方程(RK calculation of differential equations)

数字图像处理试验程序 包括图像的压缩 模糊 锐化(Digital image processing, testing procedures, including image compression blur sharpening)

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

利用matlab的DCT2函数，对图像做变换并压缩。并用8*8对图像分块，对每一块计算均方值作为阈值。(DCT2 use the matlab function, and transform the image so compressed. And 8* 8 image block, a calculation of each mean square value as a threshold.)

关于车辆跟踪的c++程序，使用了opencv进行跟踪，采用了帧差方法效果还不错(vehicle detection)

说明：  在我们的移动端开发中，需要用到折线图，本篇内容就是用flutter写的一个折线图例程。(In the development of our mobile terminal, we need to use the line chart. This article is a line chart routine written by flutter.)