Registration

实现Matlab的SRAD(Speckle Reducing Anisotropic Diffusion)算法，用于超声图像的去噪。(Matlab implementation of the SRAD (Speckle Reducing Anisotropic Diffusion) algorithm for ultrasound image denoising.)

利用有限差分和MATLAB矩阵运算直接求解二维泊松方程(Directly solving the 2D Poisson equation using finite difference and MATLAB matrix operations)

卡尔曼滤波算法，opencv代码，鼠标跟踪(Kalman filter algorithm, opencv code, mouse tracking)

属于图像质量评价领域，无参考质量评价算法算法BIQI(Belongs to the field of image quality assessment, quality assessment algorithm without reference algorithm BIQI)

产生螺旋波面的m文件，拓扑核数是3,相位改变量和高度可以自己调节。内附平面波和球面波的示意图以及产生的图片(generating helical wavefront whose topological number is three)

改进的sift算法，称为surf，来实现图像的匹配，并显示。 (Improved sift algorithm, known as the surf, to achieve the image matching, and displayed.)

这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。(This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment.)

二维码形变校正，扭曲检测，初定位,边缘检测(calibration of a distorted QR code)

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.)

基于光流算法的图像分割，能对两帧图像检测出其中运动的物体，并对其进行分割(Image segmentation based on optical flow algorithm, two frames to detect moving object, and carries on the segmentation)