retinex

数字图像处理，包括图像的卷积，相关，线性滤波处理，边缘检测都是运用labview来完成的。(Digital image processing, including images, linear convolution, filter, edge detection is accomplished using labview)

说明：  最新的ROI(Region of Interest)算法，不再像传统算法那样只能画出一个圆或者一个长方形。(The latest ROI (Region of Interest) algorithm, is no longer like the traditional algorithms can only be drawn as a circle or a rectangle.)

一种用于稀疏表示求解L1范数的算法，用L1范数近似L0范数获得了更好的效果。(A method for sparse representation algorithm for solving the L1-norm)

压缩感知重构算法去噪方法，以及一系列改进方法(Compression-aware reconstruction algorithm denoising method, as well as a series of improved methods)

关于包络跟踪测试解决方案的说明。介绍了所需的相关仪表以及之间的同步通信(Envelope Tracking)

基于ADMM的TV正则化最小化稀疏重建算法(TV Minimization Sparse Reconstruction Algorithms Based on ADMM)

Simple Shape Detection using Hough Transform 用霍夫变换做为形状检测的matlab源码,从matlab官网下载(Simple Shape Detection using Hough Transform Hough transform used as a shape detection matlab source, from the official website download matlab)

【实例简介】本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个人机交互式GUI界面，界面友好。是个不错的bishe选题。

螺旋轨迹重建的一种实现方法，是解析算法的典型案例(An implementation method of spiral trajectory reconstruction is an analytical algorithm)

Real-time foreground–background segmentation using codebook model 了解码书进行图像处理(背景与前景)的原理，可以从该文章中获得有益的参考价值(Real-time foreground–background segmentation using codebook model A practical paper for knowing of image processing theory(about foreground-background) by codebook)