运动目标检测

基于Sift算法开发商标图案匹配程序，(1)各个CBIR模块及其技术； (2)Sift算法及其在图像匹配、目标识别中的应用； (3)Sift算法在图像检索中的应用。 (Sift algorithm development based on pattern matching program mark (1) Each CBIR module and its technology (2) Sift algorithm and its application in image matching, object recognition application (3) Sift algorithm in image retrieval applications.)

利用matlab来对数据进行其各种对应的变换和相位获取(Matlab is used to transform the data and acquire phase)

对清晰图像加模糊并用时域和频域的方法分别实现对模糊参数的估计并将图像复原（其中用频域的方法实现对模糊角度的估计）(Clear picture of the additive fuzzy and time-domain and frequency domain methods, respectively, to achieve the estimated fuzzy parameters and image restoration (including the method used to achieve frequency domain point of view of fuzzy estimates))

非局部均值滤波 输入: 待平滑的图像 t: 搜索窗口半径 f: 相似性窗口半径 h: 平滑参数 NLmeans(ima,5,2,sigma) (Non-local mean filtering input: to be a smooth image t: the search window radius f: similarity of the window radius h: smoothing parameter NLmeans (ima, 5,2, sigma) )

奇异值分解波束形成，自适应波束形成仿真。由均匀线阵形式，确定阵列的导向矢量；由阵列导向矢量，对接收信号进行建模仿真；根据约束条件，实现自适应波束形成算法；考察算法性能与信噪比，采样率，观测时间等参数的关系。 (SVD beamforming, adaptive beamforming simulation. Form by the ULA to determine the array steering vector by the array steering vector, the received signal modeling and simulation under constraint conditions, adaptive beamforming algorithm examine algorithm performance and signal to noise ratio, sample rate, observation time, etc. parameters.)

是用matlab 实现的cox经典水印算法包括水印的嵌入、提取等(using Matlab realized cox classic watermarking algorithm including the watermark embedding and extraction, etc.)

说明：  一、课题介绍 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。 二、算法流程 结合火焰的面积增长率，角点和圆形度三个维度综合判断。并且得出每帧图像火焰部分的该三个参数，实时显示在GUI上。 三、GUI界面设计(This design is based on MATLAB flame smoke fire detection system. The traditional method of using color has large error recognition and strong limitation. Considering that the flame is real-time and dynamic jumping, the area growth rate, corner and roundness are combined to determine whether there is flame. The test object of the design is video. Through the difference between the next frame and the previous frame, whether there is fire is found and the voice alarm can be sent out. This design has a personal computer interactive GUI interface, the interface is friendly. It's a good choice for BiShe.)

本程序采用迎风方案实现推广GAC模型的水平集方法，希望大家借鉴。(This procedure uses the wind to promote GAC model programs to achieve the level set, and I hope everybody' s reference.)

先检测出椭圆，然后对椭圆进行椭圆拟合，画椭圆。(First detected in an oval, and then carried out on the elliptical ellipse fitting, painted oval.)

利用hough变换检测图像中的形状圆和直线，以及图像几何变换(detecting image circle or line using hough transformation and transformation)