Texture_Synthesis_Using_Image_Quilting

从jd1.ave中读取某一桢图像，并应用dct带通滤波，输出图像为‘source.bmp’(read from a jd1.ave Lo images, and apply Copy-pass filtering, Image output for the 'source.bmp')

说明：  医学图像图像配准方法，采用了经典的基于灰度的方法。(This is a general purpose registration method for medical images. )

全屏显示窗体。通过快捷键F11实现程序全屏显示的效果。(Full-screen display of the form. Through the shortcut key F11 to achieve the effect of full screen display.)

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.)

改进的harris角点检测代码，应用于基于特征的遥感影像配准中，在经典harris算子基础的改进，提高角点检测的准确度(improvement of harris corner detection program，applied in RS imagery registration based on features，the operator improved on the base of the classical one，the accruacy has been enhanced )

Unix系统下，小波包变换的实现源码实例，，当然，稍作改动也可用于windows系统下。 (Unix systems, the instance of the wavelet packet transform source, of course, some minor changes can also be used in the windows system.)

用于图像中边缘检测的重要算法，radon变换，该MATLAB程序实现了radon变换，直接确定图像中边缘位置和边缘强度(Radon convert)

基于稀疏分解的欠定盲源分离，要求信号具有一定的稀疏性。(Based on sparse decomposition due to blind source separation, the signal has a certain sparseness.)

暑期实习用matlab编写的一个人脸马赛克图像处理处理算法，附件同时包含了算法的原理解释(face mosaic image processing by matlab. )

在ENVI中利用此程序可将多光谱影像拆分为单个波段。(In ENVI, multi-spectral images can be divided into single bands by using this program.)