manyPic

文件中含有粒子滤波完整代码以及几种改进粒子滤波算法代码，运行主函数可以分别看到粒子滤波算法和改进后的算法运行效果，适合初学者学习应用(The file contains the complete code of particle filter and several improved particle filter algorithm code, run the main function algorithm performs the particle filter algorithm and the improved see respectively, suitable for beginners to learn to use )

实现bmp位图的图像放大缩小，包含整个mfc的源码文件。(Achieve bmp bitmap image zoom, contains the entire mfc source files.)

滑窗计算刀具磨损量，拟合刀具边界，自动计算磨损量(sliding window based tool wear calculation)

可根据需要自定义窗口形状，用于各种特效窗口开发(Customizable window shape, for a variety of special effects needed to develop window)

说明：  取一个最优阈值把原图像分为前景色与背景色，两部分的类间方差越大，说明两部分差别越大，便能有效的分割图像。(Image threshold segmentation)

说明：  ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高 噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波 系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回 波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors， the useful signals and the high noise signals are combined together，which seriously affects the distance measurement precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals．Its precision is higher than that of the adaptive filtering method．)

说明：  火灾预警系统，实现火焰的特征提取，结合SVM分类算法(Fire early warning system, to achieve the feature extraction of flame, combined with SVM classification algorithm)

FMCW调频连续波雷达的测距测角，能量熵的计算，ICA（主分量分析）算法和程序。( FMCW frequency modulated continuous wave radar range and angular measurements, Energy entropy calculation, ICA (Principal Component Analysis) algorithm and procedures.)

2014年西安电子科技大学数字图像处理上机实验，同时是研究生和本科生的代码及作业 (2014 Xi' an University of Electronic Science and Technology of digital image processing experiments on board, while the graduate and undergraduate students and job code)

利用K-高斯混合模型提取视频的前景信息。(The use of K-Gaussian mixture model for the future of video information extraction)