GUI

说明：  几种常用的SAR图像滤波程序：初值滤波、中值滤波、维纳滤波、Lee滤波、kuan滤波等(some common filter program of SAR image,such as Lee filter,kuan filter.)

一段车牌分割的matlab程序 可以实现车牌的定位分割, 希望大家讨论(a division of Matlab registration procedures can be achieved by positioning plates segmentation, we hope that the discussion)

说明：  遥感图像分割,包括七幅图像matlab实现(image segntme)

下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)

strtok(char s[], const char *delim) 用来将字符串分割成一个个片段。参数s指向欲分割的字符串，参数delim则为分割字符串中包含的所有字符。当strtok()在参数s的字符串中发现参数delim中包涵的分割字符时,则会将该字符改为

快速运动去模糊，在盲去卷积过程中运用一些加速算法(Fast motion to blur in the blind deconvolution algorithm to accelerate the process of using some)

matlab书上第六章数值运算的几个样例习题。。。。。(the descirbtion of the matlab)

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.)

说明：  是一种纹理描述算子用于快速提取图像的纹理特征,应用于医学图像检索,场景分类等.(Is a texture description operator for rapid extraction of texture features, used in medical image retrieval, scene classification.)

计算机图形学中实现多边形平移，旋转，缩放变换。(Polygons in computer graphics to achieve translation, rotation, scaling transformation.)