FileRecv

说明：  matlab实现帧间差分提取运动目标，包含测试视频和运行效果。在背景固定的视频中效果较好。附赠lena图片以供CV学习。(Matlab achieves inter-frame differential extraction of moving objects, including testing video and running effects. It works well in video with fixed background. Enclosed Lena pictures for CV learning.)

VC摄像图捕捉程序，简单实用，对初学者有帮助(VC camera Figure capture, simple and practical for beginners)

matlab检测直线交点源程序在matlab6,5下已调试通过 不错的(Matlab detection line intersect point source in matlab6, have been debug through good under 5)

基于matlab实现干涉显微镜图像重构中的二维解包裹函数。( QualityGuidedUnwrap2D implements 2D quality guided path following phase unwrapping algorithm. Inputs: 1. Complex image in .mat double format 2. Binary mask (optional) Outputs: 1. Unwrapped phase image 2. Phase quality map This code can easily be extended for 3D phase unwrapping. Technique adapted from: D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms and Software. New York: Wiley-Interscience, 1998. Posted by Bruce Spottiswoode on 22 December 2008 2010/07/23 Modified by Carey Smith)

采用阻抗跟踪及模糊逻辑算法，实现锂电池包SOC及SOH精确估算。(Estimation of the SOC and SOH of Li-ion battery pack ,by empedence measure with fuzzy logic inference)

求图像峰值信噪比，可以用于图像质量的评估。(Peak signal to noise ratio for images that can be used for image quality assessment.)

国外著名的凸优化程序包，压缩感知理论，恢复算法(Foreign well-known convex optimization package, compressed sensing theory, and recovery algorithm)

说明：  灰图像三级小波分解，以lena图像为例。(Gray image 3 wavelet decomposition to lena image as an example.)

对由工业相机采集到的众多太阳能电池片图像信息进行处理，并对电池片的裁剪(The cutting of the battery sheet)

实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％(To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading)