OCR

gmmreg图像配准算法源程序，里面用到了TPS算法，并附有例子。(gmmreg image registration algorithm source code and two demos, which used the TPS algorithm.)

通过小波变换方法对雾天的图像去雾，实现图像增强的效果(Through the wavelet transform of images of fog to fog, to achieve the effect of image enhancement)

基于数学形态学的顺序滤波源程序，可以更改。(Mathematical Morphology order filtering source, can be changed.)

彩色图像纹理和色彩特征提取，并用fcm进行分割(Color image texture and color feature extraction, and split with fcm)

snake算法实现轮廓提取,可以生成一个对话框,点相应按钮实现相关处理功能(snake contour extraction algorithm can generate a dialog, point to achieve the button corresponding correlation function)

利用偏振片旋转三个不同角度得到的三幅偏振图像，计算求得偏振度图像和偏振角图像及斯托克斯分量图像(Use polarizer is rotated three different angles of the three polarization image, the image of the degree of polarization and polarization angle images calculable and Stokes component image)

对于二值图像进行labeling,求的对象个数，每个对象的像素数，中心点，长宽高矮值等(labeling for bianry image)

二维窗口函数，包含汉宁窗，布莱克曼窗，契比雪夫窗等(it creates a 2 dimentional window for a sample image)

说明：  matlab使用regionprops求面积，找到连通域(Matlab uses regionprops to calculate area and find connected region)

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.)